can-trace integration guidelines final report april 2006 · the final version of the survey...

Can-Trace is funded in part under the Agricultural Policy Framework, a federal-provincial-territorial initiative managed by Agriculture andAgri-Food Canada.

Can-Trace

Integration Guidelines

Final Report April 2006

Can-Trace Integration Guidelines

Final Report

Prepared by: Michael Miskin, Merit-Trax Technologies Inc.Date: April 2006

Can-Trace Integration Guidelines April 2006 - 3 -


Table of Contents

1. Introduction ............................................................................................................................................. 1

2. Can-Trace Standard - Objectives and Functional Requirements .................................................................... 5

3. Survey Questionnaire Description............................................................................................................... 7

4. Survey Methodology ................................................................................................................................. 7

5. Participating Programs .............................................................................................................................. 8

6. Can-Trace GAP Survey Results ................................................................................................................. 10

7. Discussion of GAP Survey Results by Program........................................................................................... 14

8. Conclusions and Recommendations.......................................................................................................... 30

Appendix A. Summary of the Canadian Food Traceability Data Standard Version 1.0 ....................................... 34

Appendix B. Survey Questionnaire ............................................................................................................... 42

Appendix C. Survey Results ......................................................................................................................... 57

Can-Trace Integration Guidelines April 2006

1. Introduction:

The intention of the Can-Trace Integration Guidelines report is to provide assistance to enable the seamlessintegration of the mandatory Can-Trace data elements into the traceability requirements of existing on and off farmprograms pertaining to, but not exclusively restricted to:

• Food safety• Food quality• Animal health• Plant health• Organics• Environmental management.

The Integration Guidelines Working Group identified a select number of programs to be reviewed by the consultantin order to assess the opportunity and methodology for integrating the mandatory data elements in the Can-Trace“Canadian Food Traceability Data Standard Version 1.0” (CFTDS v 1.0) with the traceability elements in theprograms under review. The focus is on what information needs to be exchanged to ensure the traceability link ismaintained, not the technology associated with how that information should be exchanged.

In preliminary conference calls the working group agreed with the consultant that the review would be conductedby means of a survey questionnaire which would be used to identify the gaps between the Can-Trace Mandatorydata elements and an individual food safety/food quality/animal health/plant health program’s traceability dataelements.

The working group also accepted the consultant’s recommendation to benchmark the proposed survey questionswith two or three programs, as the first step in the project work plan. The consultant prepared a preliminary reporton the benchmark surveys, which was formally discussed by the group at a meeting held on September 7, 2005.At this meeting and in accordance with the project work plan, the working group and the consultant defined boththe final version of the survey questionnaire and the report deliverables.

The results of the preliminary benchmark surveys indicated that gaps do exist and that the opportunity to integratethe Can-Trace mandatory data elements will probably require modifications to the Can-Trace Standard. Threeimportant facts emerged from the preliminary benchmark surveys:

a) A program implements traceability in order to achieve specific objectives. These objectives can themselvesrepresent a gap or can be the underlying reason that data element gaps exist. The functional requirementsof a program and the traceability functions of its data elements are based on these objectives.

b) A program’s traceability objective may be to satisfy the functional requirement to have a processcertified. This fact in itself represents a gap, since the program may not have a data standard.

c) The opportunity for implementation of the Can-Trace Standard in traceability programs does exist, if themandatory data elements in the Can-Trace CFTDS v 1.0 can be modified to accommodate the objectives,functional requirements and traceability functions of the data elements required by theprograms.

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The traceability function of a data element refers to its generic traceability identifier. There are three generictraceability identifiers (Product, Party and Location) which are described in the CFTDS v 1.0 and which are referredto as the “basic elements of traceability”. In the survey questionnaire and elsewhere in this report the author usesthe term “traceability function” to refer to these generic traceability identifiers. The author uses the term“functional requirement” to describe the data collection, storage and sharing issues which a program must considerin order to meet its traceability objectives.

With respect to the programs’ traceability objectives, functional requirements and traceability functions (basicelements of traceability), the final set of survey results indicates that:

a) The CFTDS v 1.0 has a downstream supply chain perspective, where product is identified in boxes or bags(trade units) and is stored and shipped on pallets (logistical units). The Product Identifier is considered to be aMaster Data Type (information that seldom changes). The on farm food safety and animal health programs areupstream value chain oriented as opposed to downstream supply chain oriented. Upstream Product Identifiers(pre box and pallet) have the functional requirement to preserve the identity of products that arestored and shipped in bulk. This creates a challenge to the seamless integration of the Can-Trace dataelements, specifically where there are more identifiers required than the CFTDS v 1.0 allows for, and the ProductIdentifiers are Transactional Data Types (information that changes per transaction). The Product Identifiers notonly vary with each transaction, but can vary from link to link in the chain, including during transport, where theProduct Identifier is the identifier of the container or storage device and/or the vehicle which is transporting thecontainer.

b) The CFTDS v 1.0 uses the one link up/one link down model of sharing traceability information between parties.Some of the on farm food safety and animal health programs in the livestock sector do not. They have afunctional requirement to use a central database or registry. In some cases the livestock modelrequires these central databases to share information with one another. The central database model createsa challenge to the seamless integration of the Can-Trace data elements relative to how the information is tobe kept (stored) and shared (exchanged).

c) The programs in the livestock sector are concerned with animal health issues and have a functionalrequirement to track animal movements to a degree of precision that goes beyond thetraceability functions of the Mandatory Data Elements in the CFTDS v 1.0. Vehicle of ConveyanceIdentification and Date/Time data elements are required in the livestock sector. Furthermore in many instancesof animal movement, the Buyer and Vendor Identifiers are irrelevant, it is the Premises Identifier and relatedContact Information that are relevant.

d) The CFTDS v 1.0 has a downstream supply chain perspective, where the primary objective is product recallfor food safety. The CFTDS v 1.0 Mandatory Data Elements deal with three basic elements of traceability(Party, Product and Location Identification). The Shipment Identifier is one of the eight Mandatory DataElements in the CFTDS v 1.0. However it only serves the traceability function of being a pointer to where therelevant shipment data elements are kept (stored). The functional requirements of the on farm food safetyand animal health programs which require transactional Product Identifiers and precision Shipment Identifiersindicate that the three basic elements of traceability on which the CFTDS v 1.0 is based are not sufficient forthe seamless integration of the CFTDS v 1.0. There is a fourth basic element of traceability that must beconsidered, which is Shipment Identification.



Based upon the results of the preliminary benchmark surveys, the working group and the consultant decided thatthe Can-Trace Integration Guidelines report will:

a) Identify the gaps.

b) Discuss the reasons as to why the gaps exist relative to the objectives and functional requirements of theprograms.

c) Prepare a set of recommendations to be presented to the Standards Working Group regarding proposedmodifications to the mandatory data elements, in order to accommodate the objectives and the functionalrequirements of the programs. In the context of this report, the word “modifications” refers to both theinclusion of optional data elements and expanding or changing the definitions (terminology) of some of theexisting data elements relative to the four basic elements of traceability.

It should be noted that the discussion of the gaps and the recommendations contained in this report focus on theability of the CFTDS v 1.0 to accommodate the objectives and functional requirements of the programs.Theoretically if a program does not use a mandatory data element of the CFTDS v 1.0 then it is technically a gapas far as the survey results are concerned. However it is not the intention of this report to refer to the missingmandatory data elements as data elements which must be included by the programs.

The discussion of the gaps and the recommendations contained in this report compare the Objectives and theFunctional Requirements of the programs to the Objectives and the Functional Requirements of the CFTDS v 1.0.The individual data elements are discussed on the basis of their traceability functions relative to the four basicelements of traceability (Party, Product, Location and Shipment Identification), and on the basis of their data types(Master or Transactional).

The fundamental conclusion of this report is that the mandatory data elements in the CFTDS v 1.0 do notcompletely satisfy the functional requirements of on farm food safety and animal health programs because thebasic elements of traceability are applied from a downstream supply chain perspective.

The fundamental recommendation of this report is that in order to enable the seamless integration of themandatory Can-Trace data elements into existing on and off farm traceability programs, the mandatory dataelements in the CFTDS v 1.0 must be modified to accommodate a more generic application of the basic elementsof traceability, and that they must include more data elements to satisfy the functional requirements for ShipmentIdentification.

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2. Can-Trace Standard - Objectives and Functional Requirements:

The purpose of this section is to describe the Objectives and the Functional Requirements of the CFTDS v 1.0, andthe concepts of “Basic Elements of Traceability” and “Master and Transactional Data Types,” on which the CFTDSv 1.0 is based.

The relevant section of the CFTDS v 1.0 is included verbatim in Appendix A.

Objectives:

The objective of Can-Trace is to define and develop minimum information requirements for a national whole-chainall-product traceability standard based on the globally recognized GS1 System (formerly called the EAN.UCC System).Specifically, this voluntary standard will establish the minimum data elements required to be collected, kept andshared between trading partners.

Functional Requirements:

The standard is based on the one link up/one link down model of collecting, keeping and sharing traceabilityinformation.

Units are traced for purposes such as recall and complaints.

The standard document “Canadian Food Traceability Data Standard Version 1.0” contains background informationand data concepts which are used to explain how to use this standard.

The important data concepts behind the standard include:

Basic Elements of Traceability:

The basic elements of traceability include Product, Party and Location Identifiers.

They are used in the one up/one down model of sharing traceability information by assigning identifiers to aproduct, relating them to their predecessor, recording them and sharing them with supply chain partners. Asproducts move or are transformed by different chain participants at different locations, new product, party andlocation identifiers are assigned and linked to their predecessors.

There are many ways to assign, record and store identifiers. The Can-Trace standard allows for the generic use ofthe identifiers and GS1 global standards (formerly called EAN.UCC international standards) for product, party andlocation identification.

Data Types:

There are two types of data required for traceability: Master and Transactional data.

Master data is information that seldom changes. Master data applies to product, party and location information.It includes information such as product description, buyer identifier, location etc.

Transactional data is data that is unique to each individual transaction. Examples include lot number, shipmentidentifier and shipment date.



Data Usage:

As the name implies, mandatory data refers to the information that all supply chain partners are obliged to collect,keep, or share. Optional data are additional pieces of information that are useful but not essential.

Comments:

The CFTDS v 1.0 is designed from a downstream supply chain perspective. Its primary functional requirement isto provide traceability for the purpose of facilitating food safety recalls. The basic elements and data types aredesigned from this perspective in order to meet this functional requirement.

The master and transactional data types are significant if a program wishes to use the EAN.UCC internationalstandards for product, party and location identification. If these data elements are used generically, as the CFTDSv 1.0 allows for, then this is not significant to the program itself. However the data types would impact how thedata is kept (stored) by an individual party who is responsible for the data at a link in the supply chain.

3. Survey Questionnaire Description:

The survey questionnaire was prepared as an Excel spreadsheet file, which contains a set of five worksheets. Theset of five worksheets consists of:

Introduction: Which describes the purpose of the survey, the method to be used to determine the gaps and theinstructions for answering the questions.

Questions: Which presents the questions in a two set (Y/N) format. The format also included a column forterminology and function comments and a description of each program’s traceability objectives.

Can-Trace Mandatory Data: Which was included for reference purposes and describes the eight mandatory dataelements as per CFTDS v 1.0.

Can-Trace Data Dictionary: Which was included for reference purposes and describes the twenty-four dataelements as per CFTDS v 1.0.

Traceability Functions: Which was included for reference purposes and describes the traceability function of eachof the twenty-four data elements as per CFTDS v 1.0.

A copy of the Excel spreadsheet file is included in Appendix B.

4. Survey Methodology:

The consultant presented the survey to each of the programs, as an opportunity for them to compare thetraceability requirements in their programs with the Can-Trace mandatory data elements. It was also stressed thatfrom Can-Trace’s perspective the purpose of the survey was to identify the gaps and not “to recommend changesto the programs in order for them to conform to Can-Trace”.

The individual surveys were conducted as follows:

The consultant conducted an initial telephone call for the purpose of introduction and to gain an understanding of

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each program’s ultimate goals and traceability accomplishments to date. Prior to conducting the initial call, theconsultant conducted a web search review of each program and its traceability requirements.

Each participant was e-mailed a copy of the survey questionnaire to review and to prepare their preliminaryanswers.

The consultant then conducted the survey with the participant by telephone and took the notes which were to beentered in the description and comments column.

After the survey telephone call, the consultant entered the comments based upon his notes and reviewed thesurvey answers to check for any omissions or discrepancies and to identify any answers which might requirefurther clarification.

The completed survey was e-mailed to the participant for review. Further clarification was conducted by means offollow-up telephone calls.

If changes were made to the answers or comments then these were entered by the consultant and the revisedsurvey was e-mailed to the participant for review. This cycle was repeated until the survey answers were acceptedby the participant.

5. Participating Programs:

Some of the participating programs fall under the general description of on farm food safety and/or HACCPprograms.

In additional to their traceability requirements, the on-farm food safety programs must satisfy the requirementsof the Canadian On-Farm Food Safety (COFFS) Program. The COFFS Program is a producer-led,industry/government partnership that provides national commodity groups with the opportunity to develop thestrategies and the necessary tools to educate producers and to implement national on-farm food safety initiativesconsistent with the Codex Alimentarius’ Hazard Analysis Critical Control Point (HACCP) definitions and principlesand with the Canadian Food Inspection Agency’s Food Safety Enhancement Program.

The Canadian Food Safety Adaptation Program (CFSAP) is an innovative national program to assist the agri-foodindustry in designing comprehensive, collaborative food safety strategies and management systems. CFSAP wasdesigned by the Canadian Food Inspection Agency in consultation with Agriculture and Agri-Food Canada and foodindustry stakeholders. The use of HACCP as a tool helps promote a consistent scientific approach to food safety.The CFSAP initiative complements other initiatives targeting food safety such as the Canadian On-Farm FoodSafety Program

For a brief overview on HACCP, please visit the following url:

http://www.inspection.gc.ca/english/fssa/polstrat/haccp/haccpe.shtml and

http://www.inspection.gc.ca/francais/fssa/polstrat/haccp/haccpf.shtml



For a brief overview on COFFS, please visit the following url:

www.onfarmfoodsafety.ca and www.salubritedesalimentsalaferme.ca

The benchmark surveys were conducted during the period from August 11, 2005 to August 26, 2005. The finalsurveys were conducted during the period from October 15, 2005 to November 2005.

The following programs participated in both the benchmark and the final surveys:

a) Canadian Grain Commission - Canadian Identity Preservation Recognition System, (CIPRS), represented by Jo-Anne Sutherland

b) Canadian Pork Council - National Identification and Traceability for Swine (CPC), represented by FrançoisBédard

c) Dairy Farmers of Canada - Canadian Quality Milk Program (CQM), represented by Nicole Sillett

The following programs participated in the final survey:

d) Equine Canada - Equine Canada ID Project (EC), represented by Vel Evans

e) Canadian Herb, Spice & Natural Health Product Coalition - Plant Identification for the Herbal Industry(CHSNHPC), represented by Connie Kehler

f) Canadian Livestock Identification Agency (CLIA), represented by Michael Dexter

g) Packaging Association of Canada (PAC), represented by Roger Miller

h) Canada Organic Initiative (COI), represented by Paddy Doherty

i) Agri-Traçabilité Québec (ATQ), represented by Linda Marchand – At the time of the writing of this draft, theresults of this survey had not yet been confirmed by the participant.

j) Canadian Food Inspection Agency – Food Safety Enhancement Program (FSEP), represented by Tom Graham- This survey was conducted in March 2006, after version 2.5 of the report was written. The results of thissurvey have been included in this final draft of the report.

The results of the final survey questionnaires are included in Appendix C.

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6. Can-Trace GAP Survey Results:

6. A. Mandatory Data Elements:


Mandatory Data Element

Basic Element of Traceability CIPRS CPC CQM EC CHSNHPC CLIA PAC COI FSEP

Buyer Identifier - Required Party/Location Y N N Y Y N N Y Y

Buyer Identifier - Terminology N N N Y N N N Y Y

Y N N Y Y Y N Y Y noitcnuF - reifitnedI reyuB

Lot Number - Required Product Y N N N Y N Y Y Y

Y Y Y N Y N N N Y ygolonimreT - rebmuN toL

Y Y Y N Y N N N Y noitcnuF - rebmuN toL

Product Description - Required Product Y N N N Y N Y Y Y

Product Description - Terminology Y N N N N N N Y Y

Product Description - Function Y N N N N N Y Y Y

Product Identifier - Required Product Y/N Y Y Y Y Y Y Y Y

Product Identifier - Terminology Y Y N Y N N N Y Y

Product Identifier - Function Y Y Y Y N Y Y Y Y

Y Y Y Y Y N Y Y Y tcudorP deriuqeR - ytitnauQ

Y Y Y N Y N Y Y Y ygolonimreT - ytitnauQ

Y Y Y Y Y N Y Y Y noitcnuF - ytitnauQ

Shipment Identifier - Required Party/Location/Shipment Y Y N Y/N Y Y Y Y Y

Shipment Identifier - Terminology Y N N Y N N Y Y Y

Shipment Identifier - Function Y Y N Y Y Y Y Y Y

Unit of Measure - Required Product Y N N N Y N Y Y Y

Unit of Measure - Terminology Y N N N Y N Y Y Y

Unit of Measure - Function Y N N N Y N Y Y Y

Supplier Identifier - Required Party/Location Y N Y Y Y Y Y Y Y

Supplier Identifier - Terminology Y N N Y N N N Y Y

Supplier Identifier - Function Y Y N Y Y Y Y Y Y


6. B. Optional Data Elements:

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Optional Data Element

BasicElement of Traceability CIPRS CPC CQM EC CHSNHPC CLIA PAC COI FSEP

Vehicle Identifier - Required Shipment Y Y N Y N Y Y N N Can-Trace Optional Y Y Y Y Y N Can-Trace - Terminology Y N N N N N Y N N Can-Trace - Function Y Y N Y N Y Y N N

Shipment Date - Required Shipment N Y N Y N Y Y N Y Can-Trace Optional Y Y Y Y Y Can-Trace - Terminology N Y N Y N Y Y N Y Can-Trace - Function N Y N Y N Y Y N Y

Shipment Time - Required Shipment N Y N Y N N Y N N Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N N N N N N N

Receipt Date - Required Shipment N Y N Y N Y N N Y Can-Trace Optional Y Y Y Y Can-Trace - Terminology N Y N Y N Y N N Y Can-Trace - Function N Y N Y N Y N N Y

Receipt Time - Required Shipment N Y N Y N N N N N Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N N N N N N N

Ship From Location - Required Party/Location N Y N Y N Y N N Y Can-Trace Optional Y Y Y Y Can-Trace - Terminology N N N N N N N N Y Can-Trace - Function N Y N Y N Y N N Y

Ship To Location - Required Party/Location N Y N Y N Y Y Y Y Can-Trace Optional Y Y Y Y N Y Can-Trace - Terminology N N N N N N N N Y Can-Trace - Function N Y N Y N Y Y N Y

Ship Container Seal No - Required Product Y N N N N N N N Y Can-Trace Optional Y Y Can-Trace - Terminology Y N N N N N N N Y Can-Trace - Function Y N N N N N N N Y




Premise of Origin (Contact) - Required Party/Location N N Y Y N Y N Y N Can-Trace Optional Y N Y N Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N Y Y N Y N N N

Responsible Party Contact - Required Party N N N N N N N Y N Can-Trace Optional Y Can-Trace - Terminology N N N N N N N Y N Can-Trace - Function N N N N N N N Y N

Animal Age ? N N Y N N N N N N Can-Trace Optional Y Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N Y N N N N N N

Premise of Residence (Contact) - Required Party/Location N N N Y N N N N N Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N Y N N N N N

Premise of Activity (Contact) - Required Party/Location N N N Y N N N N N Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N Y N N N N N

Voucher Specimen Product N N N N Y N N N N Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N N N N N N N

Retention Sample ID Product N N N N Y N N N N Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N N N N N N N

Responsible Party ID - Required Party N N N N N N N Y N Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N N N N N N N


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Certification Body ID - Required Party N N N N N N N Y N Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N N N N N N N

Establishment Registration Number - Required Party/Location N N N N N N N Y Y Can-Trace N/A Can-Trace - Terminology N N N N N N N N N Can-Trace - Function N N N N N N N N Y

Country of Origin - Required Location N N N N N N N Y Y Can-Trace Optional Y Can-Trace - Terminology N N N N N N N N Y Can-Trace - Function N N N N N N N N Y

Shipping Company - Required Party N N N N N N N Y Y Can-Trace Optional Y Can-Trace - Terminology N N N N N N N N Y Can-Trace - Function N N N N N N N N Y

7. Discussion of GAP Survey Results by Program:

7. A. Canadian Grain Commission - Canadian Identity Preservation RecognitionSystem (CIPRS)

Objectives:

The CIPRS standard is process-oriented, not data-oriented. The standard describes the QMS process controlrecords (i.e. data) to be collected and stored for retrieval. The standard is not prescriptive, but does requiretraceability and audits to ensure that traceability is in place within the company’s scope of operation.


Traceability is based on the one link up/one link down model of collecting, keeping and sharing traceabilityinformation.

Units are traced primarily for the purpose of identity preservation.

Basic Elements of Traceability and Data Types:

Product Identification:In the upstream part of the supply chain the product identity must be preserved while the product is in a bulkformat. The product identifier is often some combination of the identifier of the storage or shipping container incombination with the product description and/or the vehicle of conveyance identifier.

Party/Location Identification:The buyer may sometimes be identified by the supplier’s contract number and not by a unique identifier.

Shipment Identification:The Vehicle and Shipping Container Identifiers are transactional data elements which are used for productidentification.

The vehicle of conveyance and a particular compartment of the vehicle, such as a hold on a ship, and theidentification of a unique seal on a shipping container are all important to preserving the identity of the productwhile it is in a bulk format.

Comments:

In the CFTDS v 1.0, the product identifier is a master data type. In the CIPRS program, while the product is in abulk format, the product identifiers are transactional. The product identifiers require an association with theshipment identifiers (the vehicle and the unique shipping container identifier or storage device).

The use of the buyer identifier is not mandatory in the CIPRS program. Where the supplier’s contract number is usedto identify the buyer and/or the seller, the identifier becomes a transactional and not a master data type. If thecontract number is unique to a particular shipment, then it could also be considered to be a shipment identifier, sincein the CFTDS v 1.0, the shipment identifier serves a function in providing both Party and Location identification.

In order to enable the seamless integration of the CFTDS v 1.0 mandatory data elements into the traceabilityrequirements of the CIPRS program, the Vehicle and Shipping Container Identifiers would have to be included asmandatory data elements.



7. B. Canadian Pork Council (CPC)

Objectives:

The CPC is developing a traceability system to track swine movement from birth to slaughter. The purposes of thesystem are to:

1. Minimize the impact of a food safety crisis or a foreign or domestic animal disease outbreak. 2. Reinforce our domestic and export market access. 3. Improve competitiveness.


Traceability is based on the use of a central database model for keeping and sharing traceability information.

Animal movements are tracked in order to determine, at a precise point in time, their exact location and all otheranimals or vehicles of conveyance that they were in contact with.

The program deals with the animals in the upstream portion of the supply chain from farm to slaughter.


Product Identification:Animal Identification is used to uniquely identify an individual animal for specific movements, such as co-minglingof animals where the final destination is unknown e.g. auction, show, test station, etc. This will also be requiredfor breeding stock.

However where the final destination is known a group of animals that is moved together will share the sameidentifier (group number) in the central database. Unlike a processor’s lot number where each unit that belongsto the lot shares the same production attributes, an animal will belong to a different group number each time thatit is moved. In this context the group number is actually a shipment identifier that is used for product identificationand is thus a transactional data type.

Party/Location Identification:The CPC system uses Premises IDs to identify the location (Premises ID) from and to which theanimal is shipped. The identification of buyers and sellers is not required due to the fact that a largeportion of the industry is vertically integrated and an animal can be shipped from one location toanother, with no change in ownership. The “Contact” is identified by the Premises ID record whichis registered in a central database. The Contact information is stored in the database and isaccessed by the Premises ID.

Shipment Identification:In addition the use of the Group Number as a Shipment Identifier, the Vehicle Identifier and the Shipment andReceipt Dates are transactional data elements which are needed for the tracking precision required by theprogram.

The identity of the vehicle of conveyance is used for animal health reasons. If a diseased animal was transportedon a truck, then all other animals which were transported on that truck may be affected as well, even if they donot belong to the same group number (shipment identifier).

The date and time that an animal was at a certain location or transported by a certain vehicle is required.

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Comments:

The CPC system uses the terminology of Premises ID of Shipment Origin and Premises ID of Shipment Destinationto refer to Ship from Location and Ship to Location identifiers. However since the Premises ID also serves thefunction of identifying the contact at each location its function is not identical to the function and definition of theShip from Location and Ship to Location identifiers in the CFTDS v 1.0.

It is of interest to note that an implementation of the CFTDS v 1.0, which uses the GS1 global standards forproduct, party and location identification would also use the Global Location Number (GLN). In the GS1 System,the GLN provides the function of identifying entities. These entities can be both Parties and Locations. Thereforethe GLN can be used to identify Buyers, Sellers, Ship from Locations and Ship to Locations. The traceabilityfunctions (basic elements of traceability) of the GLN are the same as those of the Premises ID in the CPCprogram.

In order to enable the seamless integration of the CFTDS v 1.0 mandatory data elements into the traceabilityrequirements of the CPC program the following gaps need to be resolved:

• The definition and function of the Ship from Location and Ship to Location identifiers in the CFTDS v 1.0need to be expanded to include those of the Premises ID.

• The Ship from Location and Ship to Location identifiers need to be made mandatory data elements. • The Vehicle Identifier in the CFTDS v 1.0 needs to be made a mandatory data element. • The definitions of the Receipt Date and Ship Date data elements in the CFTDS v 1.0 need to be expanded

to include time.• The Receipt Date and Ship Date data elements need to be made mandatory data elements.

It should be noted that the Shipment Identifier, which is a mandatory data element in the CFTDS v 1.0, serves therequirement of pointing to or referencing where the above mentioned gap elements are stored. Generally theShipment Identifier is the reference number of a shipment’s bill of lading, waybill document or electronic advancedshipment notice. It is this document which contains the data (Ship from Location, Ship to Location, Receipt Dateand Ship Date, Vehicle Identifier). In the CFTDS v 1.0, the Shipment Identifier actually points to where thisinformation is stored (kept). In an electronic system it is the database record identifier that points to the recordwhich stores the data, while in a manual system it is the document itself. In the CPC system the data elementsthemselves are mandatory, not just the pointer.

7. C. Dairy Farmers of Canada Canadian Quality Milk Program (CQM)

Objectives:

The CQM requires traceability in accordance with ATQ regulations in Quebec and in accordance with CCIAregulations in the rest of Canada. In addition the CQM requires the unique identification of each animal on the farmfor the purpose of recording each animal’s treatment history. It should be noted that the answers to the surveyquestions reflect the minimum requirements of the CCIA regulations and not those of the ATQ. If the gaps were tobe identified in comparison with the ATQ regulations then the responses to the survey questions would be different.



Animals are traced for the purpose of identity preservation and animal movements are tracked in order to



determine, at a precise point in time, their exact location and all other animals or vehicles of conveyance that theywere in contact with.



Product Identification:The CQM uniquely identifies each animal as per the definition of Product Identifier in the CFTDS v 1.0.

Party/Location Identification:In the CQM system the identifier of interest is the farm of origin. Contact information related to the farm of originis also required.

The participants in the CQM program must also follow the traceability requirements of the ATQ in Quebec and theCCIA outside of Quebec. The requirements of these programs are not included here.

Comments:

In order to enable the seamless integration of the CFTDS v 1.0 mandatory data elements into the traceabilityrequirements of the CQM program either the definition of the Vendor/Supplier Identifier needs to be expanded toinclude a “Contact” who is not necessarily the seller or the Contact Information identifier needs to be included inthe mandatory data elements.

7. D. Equine Canada - Equine Canada ID Project (EC)

Objectives:

To support the economic sustainability of the Canadian Equine sector with a national equine identification andtracking system that: 1. Minimizes the risk and impact of contagious disease outbreaks either for animal healthemergencies affecting horses or other livestock in Canada or human health. 2. Meets international standards forequine ID and movement tracking as required to ensure continued international movement for Canadian horsesfor sport breeding and recreation. 3. Provides the reporting infrastructure to record health status at the time ofslaughter affecting meat quality and safety for horses as food animals as required by current and futureregulations.


Traceability is based on the use of a central database model for keeping and sharing traceability information. Thecentral database receives information from other databases and must also update information in the CLIA centraldatabase.

Animals are traced for the purpose of identity preservation and animal movements are tracked in order todetermine, at a precise point in time, their exact location and all other animals or vehicles of conveyance that theywere in contact with.

The system deals with the animals in the upstream portion of the supply chain from farm to slaughter.

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Product Identification:The EC program uniquely identifies each animal as per the definition of Product Identifier in the CFTDS v 1.0. Inthe EC system the product identifier is called the UELN - Unique Equine Life Number.

Party/Location Identification:The EC program uses buyer and seller identifiers. Shipment identifiers are only required if a mandatory transportmanifest is required.

The EC program also uses Premises IDs to identify the locations from and to which the animal is shipped. The“Contact” is identified by the Premises ID record which is registered in a central database.

The EC program also uses Premises ID to identify the locations of birth, residence and activity.

Shipment Identification:

The Vehicle Identifier and the Shipment and Receipt Dates are transactional data elements which are needed forthe tracking precision required by the system.

The identity of the vehicle of conveyance is used for animal health reasons.


Comments:

The EC program has many additional data elements which are related specifically to animal health and animalhistory. These elements were identified in the survey, but are not included for discussion in this report. Theelements which were included are those which are considered to be traceability related; product, party, locationor shipment identifiers.

The EC program uses the terminology of Premises ID of Shipment Origin and Premises ID of Shipment Destinationto refer to Ship from Location and Ship to Location identifiers. However since the Premises ID also serves thefunction of identifying the contact at each location its function is not identical to the function and definition of theShip from Location and Ship to Location identifiers in the CFTDS v 1.0.

The comments made in Section 7.B. Canadian Pork Council (CPC), regarding the use of the GS1 Global LocationNumber (GLC) for an implementation of the CFTDS v 1.0 that uses the GS1 global standards for product, partyand location identification also applies to the EC system.

In order to enable the seamless integration of the CFTDS v 1.0 mandatory data elements into the traceabilityrequirements of the EC system the following gaps need to be resolved:

The definition and function of the Ship from Location and Ship to Location identifiers in the CFTDS v 1.0 need tobe expanded to include those of the Premises ID. The Ship from Location and Ship to Location identifiers need to be made mandatory data elements. The Vehicle identifier in the CFTDS v 1.0 needs to be made a mandatory data element. The definitions of the Receipt Date and Ship Date data elements in the CFTDS v 1.0 need to be expanded toinclude time.



The Receipt Date and Ship Date data elements need to be made mandatory data elements.The use of the Premises ID to identify the locations of birth, residence and activity must be accommodated.

The comments made in Section 7. B. Canadian Pork Council (CPC), regarding the use of the Shipment Identifierin the CFTDS v 1.0 to point to where the Ship from Location, Ship to Location, Receipt Date, Ship Date and VehicleIdentifier are stored (kept) applies to this program as well.

7. E. Canadian Herb, Spice & Natural Health Product Coalition - Plant Identificationfor the Herbal Industry (CHSNHPC)

Objectives:

Use traceability for identity and contaminant identification, risk management and limit of liability.

Functional Requirements:Traceability is based on the one link up/one link down model of collecting, keeping and sharing trace-ability information.

Units are traced primarily for the purpose of identity preservation and risk management.

Basic Elements of Traceability and Data Types

Product Identification:At the primary producer level the lot number serves as the identifier. The information kept with this lot numberidentifies the product. e.g. field and date of harvest, sample ID, etc.

The product is described by its scientific name (genus and species) and common name, as they appear on theCertificate of Authenticity/Identity. Information is required to be kept and must be linked to the lot or batch, butmay not always be marked on the container or the box.

The lot number may also be used to identify the shipment.

The Voucher Specimen is a visual physical representation of the product (press or photo of plant).

The Retention Sample is a representative sample of a lot, batch, or shipment of a herb that is retained by thesupplier when the lot, batch, or shipment is sold up the supply chain.

Party/Location Identification:The sender of the product may not actually be the vendor as there may not be a transfer of ownership.

The receiver of the product may not actually be the buyer as there may not be a transfer of ownership.

Comments:

In the CFTDS v 1.0, the product identifier is a master data type. In the CHSNHPC program, the product identifierscan be transactional. The product identifiers also require the retention of certificates of authenticity and specimensamples.

The CHSNHPC program uses sender and receiver identifiers to identify parties and locations.

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If the lot number is used as the shipment identifier, then the shipment may not be uniquely identified if the receiverreceives multiple shipments of the same lot number.

In order to enable the seamless integration of the CFTDS v 1.0 mandatory data elements into the traceabilityrequirements of the CHSNHPC program, the definitions and/or the number of data elements used as ProductIdentifiers and Product Descriptions have to be expanded to include the association with Voucher Specimens andRetention Samples.

7. F. Canadian Livestock Identification Agency (CLIA)

Objectives:

1. The objective(s) of the Corporation are:(i) To provide for the development, administration and maintenance of a national multi-species database forlivestock identification, traceability and livestock premises identification (ii) To develop national standards and minimum criteria for multi-species Identification and traceability for speciesin Canada (iii) To provide a platform (forum) for discussions and policy development on livestock identification and traceabilityfor animal health emergency management and food safety

2. The corporation has been formed for the purpose of performing agreed upon services for and on behalf of themembers of the Corporation. Without restricting the generality of the foregoing one of the services to be providedby the Corporation is the development, maintenance, administration and management of the national multi-species database system used by the Livestock Industry Members for shared data, meeting minimum standardsand criteria, common to all species.

3. With the exception of the national multi-species database system of shared data, the Livestock IndustryMembers of the Corporation are responsible for developing and administering their own national identificationsystem for the animals of the species represented by that Member.



Animal movements are tracked in order to determine, at a precise point in time, their exact location and all otheranimals or vehicles of conveyance that they were in contact with.



Product Identification:Depending upon the species animals will either be uniquely identified or will be identified as a group that movestogether.

The group number is actually a shipment identifier that is used for product identification. Lot numbers are notused.

In the CLIA system the product description is the species.



Party/Location Identification:

The CLIA system uses Premises IDs to identify the location (Premises ID) from and to which the animal is shipped.The identification of buyers is not required due to the fact that the Premises ID is used to identify the receivinglocation. For some species the Producer ID is used in the place of the Vendor Identifier. The “Contact” is identifiedby the Premises ID record which is registered in a central database.

The Premises ID of registry is also required.


The Vehicle Identifier and the Shipment and Receipt Dates are transactional data elements which are needed forthe tracking precision required by the system.

The identity of the vehicle of conveyance is used for animal health reasons.


Comments:

The CLIA system uses the terminology of Premises ID of Shipment Origin and Premises ID of Shipment Destinationto refer to Ship from Location and Ship to Location identifiers. However since the Premises ID also serves thefunction of identifying the contact at each location its function is not identical to the function and definition of theShip from Location and Ship to Location identifiers in the CFTDS v 1.0.

The comments made in Section 7.B. Canadian Pork Council (CPC), regarding the use of the GS1 Global LocationNumber (GLN) for an implementation of the CFTDS v 1.0 that uses the GS1 global standards for product, partyand location identification also applies to the CLIA program."

In order to enable the seamless integration of the CFTDS v 1.0 mandatory data elements into the traceabilityrequirements of the CLIA program the following gaps need to be resolved:

• The definition and function of the Ship from Location and Ship to Location identifiers in the CFTDS v 1.0need to be expanded to include those of the Premises ID.

• The Ship from Location and Ship to Location identifiers need to be made mandatory data elements. • The Vehicle identifier in the CFTDS v 1.0 needs to be made a mandatory data element. • The definitions of the Receipt Date and Ship Date data elements in the CFTDS v 1.0 need to be expanded

to include time.• The Receipt Date and Ship Date data elements need to be made mandatory data elements.• The use of the Premises ID to identify the location of registry must be accommodated.

The comments made in Section 7. B. Canadian Pork Council (CPC), regarding the use of the Shipment Identifierin the CFTDS v 1.0 to point to where the Ship from Location, Ship to Location, Receipt Date, Ship Date and VehicleIdentifier are stored (kept) applies to this program as well.

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7. G. Packaging Association of Canada (PAC)

Objectives:

To document the requirements should a product recall be needed. Adherence to standards and proper executionof activities will help minimize risk from possible defective harmful products that have entered the system. It willallow tracing and accounting for all identified defective products in a quick and efficient manner, managingcommunications in the event of a recall, and assisting outside agencies by having a predetermined plan andinformation gathering mechanisms. Recalls will be consistently managed when initiated by the customer, supplier,or converter.



Units are traced primarily for the purpose of identifying product for recall.


Product Identification:The Product Identifier is not a code but a detailed description, which is used on receiving & shipping logs toindicate specific identity criteria such as the material, form factor, weight and dimensions.

The Product Description refers to the generic product name or “type of material” which is used to describe thematerial on receiving logs, e.g. paper.

The Lot Number could be a production batch number or production date code.

Party/Location Identification:The buyer is not necessarily identified. The receiver of the shipment can be identified by the Destination Name &Address (Ship to Location Identifier).

The vendor is not necessarily identified with a unique code. The vendor can be identified as the Supplier Nameon the receiving log.

Shipment Identification:The Vehicle Identifier and the Shipment and Receipt Dates are transactional data elements which are required bythe program.

The identity of the vehicle of conveyance is used.

The date and time of a shipment or a reception is required.

Comments:In order to enable the seamless integration of the CFTDS v 1.0 mandatory data elements into the traceabilityrequirements of the PAC program the following gaps need to be resolved:



The Ship to Location identifier in the CFTDS v 1.0 needs to be made a mandatory data element. The Vehicle identifier in the CFTDS v 1.0 needs to be made a mandatory data element. The definition of the Ship Date data element in the CFTDS v 1.0 needs to be expanded to include time.The Ship Date data element needs to be made a mandatory data element.

This is another example of a program that requires the data elements that are included in a shipment documentand not just the Shipment Identifier itself.

7. H. Canada Organic Initiative (COI)

Objectives:

Records that shall make it possible to trace:a. the origin, nature and quantities of organic products that have been delivered to the production unit;b. the nature, quantities and consignees of products that have left the production unit;c. any other information, such as the origin, nature and quantities of ingredients, additives and manufacturing aidsdelivered to the unit, and the composition of processed products, for the purposes of proper verification of theoperations.



Units are traced primarily for the purpose of verifying the origin and identity of a product.


Product Identification:The Product is identified using the mandatory data elements in the CFTDS v 1.0.

Party/Location Identification:The Parties and Locations are identified according to the mandatory data elements in the CFTDS v 1.0., with theexception that the Buyer does not have to be identified by a code. The use of Buyer’s name is acceptable for auditpurposes.

Every vendor/supplier is provided with a unique code assigned by a certification body.

The last responsible party to handle the product must also be identified (Producer, Preparer or Distributor ID),including their contact information.

The farm of origin must be identified.

The consignee for all shipments must be identified.

Comments:

In order to enable the seamless integration of the CFTDS v 1.0 mandatory data elements into the traceability

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requirements of the COI program the following gaps need to be resolved:

The Contact Information identifier in the CFTDS v 1.0 needs to be made a mandatory data element toaccommodate identifying the last responsible party. The Farm of Origin Identity must be accounted for. The Consignee for all shipments must be must be accounted for (The consignee can be the Ship to LocationIdentifier in some cases.The Ship Date data element needs to be made a mandatory data element.

7. I. Agri-Traçabilité Québec

At the time of the writing of this report, the results of this survey had not yet been confirmed by the participant.

7. J. Canadian Food Inspection Agency – Food Safety EnhancementProgram (FSEP)

Objectives:

Traceability is addressed in FSEP through the prerequisite program component of an establishment’s HACCPsystem. Specifically, the Recall Program details an establishment’s recall system and product codeidentification/distribution information. The objective of the recall program is to ensure establishments have thenecessary recall team structure in place and sufficient information and details so that it can recall 100% of theaffected product in a timely fashion should the need arise. An annual mock recall is utilized to ensure theseobjectives are met.



Units are traced for the purpose of recalling 100% of the affected product in a timely fashion.


Product Identification:The Product is identified using the mandatory data elements in the CFTDS v 1.0. In addition the FSEP requiresthat the Establishment Registration Number, which identifies the plant of production, must also appear on theproduct identification label, which is attached to the box.

The Country of Origin must also be identified on the label.

Party/Location Identification:The Parties and Locations are identified according to the mandatory data elements in the CFTDS v 1.0., with theexception that the Supplier does not have to be identified by a code. The use of a Supplier’s name is acceptablefor recall purposes. The exception is where the Supplier is the plant of production. In this instance theEstablishment Registration Number is used to identify the supplier.

The Establishment Registration Number is a federally registered number which is assigned by the Canadian Food



Inspection Agency. It also serves to identify the Ship from Location, when the shipper is the plant of production.

In addition to identifying the Buyer who purchased the product, the FSEP requires the shipper to maintain recordswhich identify the Ship to Location (name, address, etc.) and the Buyer’s Contact information.


The Shipping Company (Logistics Provider Identifier) and the Shipment and Receipt Dates are transactional dataelements which are required by the program.

In addition the record of any code markings identifying the shipment (Shipping Container Serial Number) is alsorequired.

Comments:

The mandatory data elements of the CFTDS v 1.0 are all applicable in order to satisfy some but not all of thetraceability requirements of the FSEP program. The FSEP program requires the use of the following data elements,which are optional in the CFTDS v 1.0:

• Logistics Provider Identifier • Shipping Container Serial Number• Shipment and Receipt Dates • Contact Information• Country of Origin• Ship to Location and Ship from Location

The FSEP also requires one data element, the Establishment Registration Number, which is not included in eitherthe mandatory or optional data elements in the CFTDS v 1.0.

The Establishment Registration Number is an important traceability requirement of the FSEP because it is a dataelement which must be visible on the label which identifies the product at the trade item (wholesale) level.

The Establishment Registration Number serves the traceability functions of both Party Identifier (Supplier) andLocation Identifier (Plant of Production). The use of a location identifier to identify the plant of production is notexplicitly included in the CFTDS v 1.0. However, it is implied in an implementation of the CFTDS v 1.0 that usesthe GS1 Global Location Number (GLN) for party and location identification. When the GLN is used as the SupplierIdentifier, the identification of the supplier location which produced the product is implied, because the GLN isunique to both the Supplier and the plant.

8. Conclusions and Recommendations:

The CFTDS v 1.0 was developed as a one link up/one link down model of collecting, keeping and sharingtraceability information, for purposes such as recall and complaints.

It is defines a data dictionary that includes 24 data elements. Eight of these 24 data elements are mandatory. Inorder to provide traceability the CFTDS v 1.0 states that each partner in the supply chain needs to keep or sharethe mandatory data elements and, depending on requirements of their sector, may need to keep and share someof the optional data elements.

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The survey results’ gaps indicate that some programs do not use of all of the mandatory data elements in theCFTDS v 1.0, because the functional requirements and corresponding definitions of the data elements in thedownstream supply chain do not accommodate the functional requirements and traceability functions of the dataelements in the upstream value chain. However if the traceability functions (basic elements of traceability) of themandatory data elements are examined and compared to the traceability functions needed to satisfy the functionalrequirements of the programs, then it can be said that all of the programs incorporate the basic elements oftraceability that the mandatory data elements are intended to provide.

The survey results also indicate that some of the optional data elements are more relevant than the mandatoryones, even after the basic elements of traceability of the mandatory data elements are examined. This appliesspecifically to the livestock programs (CPC, CQM, EC and CLIA) that use a central database or registry to keep andshare their traceability data.

The basic elements of traceability recognized in the CFTDS v 1.0, include Product, Party and LocationIdentification. Traceability (tracking and tracing) is achieved as follows:

• Fundamental to tracking and tracing a product for full chain traceability is that every food componentharvested from farm or sea and through every stage of its transformation/packaging to a finishedconsumer product must be uniquely identified at each stage of transformation or possession and thatthese identifiers be linked.

• Assigning identifiers to a product, relating them to their predecessor, recording them and sharing themwith supply chain partners is the essence of traceability. As products move or are transformed by differentchain participants at different locations, new product, party and location identifiers are assigned and linkedto their predecessors.

Author’s Note: In the case of animal movement and bulk product identity preservation, the act of shipment canrepresent a stage of transformation/packaging as far as Product Identification and Product Location are concerned.

The eight existing mandatory data elements in the CFTDS v 1.0 are listed below with their intended Basic Elementsof Traceability.

Mandatory Data Element Basic Element of TraceabilityBuyer Identifier Party/LocationLot Number ProductProduct Description ProductProduct Identifier ProductQuantity ProductShipment Identifier Party/Location/ShipmentUnit of Measure ProductVendor/Supplier Identifier Party/Location



The author concludes that the reasons that the gaps exist are due to:

• The multiplicity of basic elements of traceability that some of the mandatory data elements are expectedto satisfy. A mandatory data element should satisfy one basic element of traceability.

• The use of the Buyer Identifier to establish both the Receiving Party and the Receiving Location.

• The use of the definition of Buyer as opposed to Receiver. (A downstream supply chain perspective, whichneedlessly creates a gap since the responsible party is not necessarily the owner).

• The use of the Vendor/Supplier Identifier to establish both the Sending Party and the Sending Location.

• The use of the definition of Vendor/Supplier as opposed to Sender. (A downstream supply chainperspective, which needlessly creates a gap since the responsible party is not necessarily the owner).

• The use of only the Shipment Identifier and not also the shipment information that is kept (stored) in theshipment document (manual) or database record (electronic) that the Shipment Identifier points to. Thisshipment information includes the Vehicle Identifier, the Shipment Date, the Ship from Location and theShip to Location. It should be noted that the Ship from Location and the Sending Location are the samedata element and the Ship to Location and the Receiving Location are the same data element. The ReceiptDate is collected by the Receiver and is usually kept with the Receiver’s copy of the shipment document.In the case of a manual system this would be accomplished with a date receiving stamp. In the case ofan electronic system it would be stored with the receiving database record.

• The use of the Vehicle Identifier as a temporary transactional Location Identifier by programs that trackand trace animal movement and must preserve the identity of bulk product.

• The use of the Shipment Identifier as a Product Identifier by programs for upstream product that isshipped in bulk or for livestock that is moved as a group. The definition of Lot Number should be expandedto include the Shipment Identifier where applicable.

• The definition of Shipment Date and Receipt Date should each be expanded to include the ISO 8601definition of date and time (YYYY-MM-DDThh:mm:ss).

• For some programs the Product Identifier and the Product Description do not provide a sufficient numberof data elements to meet their functional requirements. It can be argued that all of the information canbe combined as part of an expanded Product Description (e.g. including the Voucher Specimen and theRetention Sample ID in the CHSNHPC program). However since these data elements represent keyelements of data, it would be preferable if they were collected, kept and shared as individual dataelements. Providing for the use of one or two Program Definable Product Identifiers as Optional DataElements should be considered.

The author recommends that if the seamless integration of the mandatory data elements into the traceabilityrequirements of the programs is to be achieved, then the mandatory data elements must accommodate a moregeneric application of the basic elements of traceability and Shipment Identification must be recognized as a basicelement of traceability on par with Product, Party and Location Identification.

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The author recommends that if the seamless integration of the mandatory data elements into the traceabilityrequirements of the programs is to be achieved, then the following mandatory data elements should beconsidered.

Basic Mandatory Data Element Element of Comments

Traceability

Sender Identifier Party Change definition from VendorReceiver Identifier Party Change definition from BuyerShip To Location Identifier Location Move from optionalShip From Location Identifier Location Move from optionalLot Number Product Include use of Shipment IDProduct Description ProductProduct Identifier ProductQuantity ProductUnit of Measure ProductShipment Identifier Shipment Pointer to database or

manually kept record(s) that contain all of the necessary shipment data

Since not all programs require the use of the Vehicle Identifier, Shipment Date and Receipt Date, then these dataelements should remain as Optional Data Elements, which an individual program may deem to be mandatory inorder to satisfy its functional requirements.

The definitions of the Shipment Date and Receipt Date can be expanded to include time as per the ISO 8601definition.

One or two Program Definable Product Identifier(s) can be added as Optional Data Elements, which an individualprogram may deem to be mandatory in order to satisfy its functional requirements.

Where a program uses a central database, the Can-Trace Standard’s Data Attribute Definitions should recognizethat the Party and Location Identifiers also serve the traceability function of being pointers to database recordsthat contain other required data such as contact information. This is similar to an implementation of the CFTDS v1.0 that uses the GS1 global standards for party and location identification. In this case, the GLN (Global LocationNumber) is used as a pointer to a central database record that contains all of the contact information associatedwith the GLN.

Where a livestock program uses a unique animal identifier as a Product Identifier then the Can-Trace Standard’sData Attribute Definitions should recognize that the Product Identifier also serves the traceability function of beinga pointer to a database record that contains other required information. This example is similar to how thedownstream supply chain uses the Global Trade Item Number (GTIN) as a unique product identifier to synchronizeproduct attribute data using ECCnet Registry, Canada's national product registry, which is provided by GS1 Canada.

In summary the mandatory data elements in the Can-Trace standard should be as generic as possible so that thedifferent data definitions used by individual sectors do not create an impediment to the seamless integration of



the standard. The Can-Trace standard should endeavor as much as possible to use terms and definitions whichreflect only the basic elements of traceability and should only include the minimum number of mandatoryidentifiers that are required in common across all sectors. The Can-Trace data dictionary, including both itsmandatory and optional data elements, should be a “master set” of traceability data elements from which eachsector can select data elements to build its own unique subset.

As an added comment, food safety or food quality attributes such as Animal Age should not be included in theCan-Trace Data Dictionary, since they are not basic elements of traceability.

Comment Regarding the FSEP:

The FSEP Establishment Registration Number indicates that a data element, which explicitly identifies the“Production Location”, may need to be included in the Can-Trace Data Dictionary.

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Appendix A:Summary of the Canadian Food Traceability Data StandardVersion 1.0

Important Definitions

What is traceability?Can-Trace uses the ISO definition of traceability.

Traceability is the ability to trace the history, application or location of that which is underconsideration.

For additional clarity, Can-Trace further defines traceability as being made up of two components: tracking andtracing.

What is tracking?Tracking is the capability to follow the path of a specified unit and/or lot of trade items downstream through thesupply chain as it moves between trading partners. Trade items are tracked routinely for availability, inventorymanagement and logistical purposes. In the context of this standard, the focus is on tracking items from the pointof origin to the point of use.

What is tracing?Tracing is the capability to identify the origin of a particular unit located within the supply chain by reference torecords held upstream in the supply chain. Units are traced for purposes such as recall and complaints.

Each partner in the supply chain needs to keep or share the mandatory elements and, depending on requirementsof their sector, may need to keep and share some of the optional elements.

Basic elements of traceability

Product, Party and Location Identification

Fundamental to tracking and tracing a product for full chain traceability is that every food component harvestedfrom farm or sea and through every stage of its transformation/packaging to a finished consumer product mustbe uniquely identified at each stage of transformation or possession and that these identifiers be linked.

Assigning identifiers to a product, relating them to their predecessor, recording them and sharingthem with supply chain partners is the essence of traceability. As products move or are transformedby different chain participants at different locations, new product, party and location identifiers areassigned and linked to their predecessors.

There are many ways to assign, record and store identifiers. The Can-Trace standard provides for the use of GS1global standards for product, party and location identification. This standard applies to all activities from farm orsea to back door of retail or foodservice establishments.

It is recognized that there are existing investments in individual animal, group, herd or flock identification systemssuch as the Canadian Cattle Identification Agency. These animal identifiers can be linked to the GS1 identifiers inthe rest of the supply chain.



Linking of InformationTo ensure the continuity of the flow of traceability information, each partner must pass on information about theidentified lot or product group to the next partner in the production chain.

It is imperative that the links between the lots and the logistical units (resulting from a product transformation)are recorded. Within a company, the control of all these links and accurate record keeping make it possible toconnect what has been received and what has been produced and/or shipped.

If one of the stakeholders in the chain fails to manage these links the result is a loss of traceability.

Recording of InformationEffective traceability requires standardizing the information that needs to be recorded through each step of thefood production and distribution chain.

The end result is standardized data representing all of the information necessary to collect, keep and share in orderto effectively track and trace. The Can-Trace Standard data represents generic information common to allcommodities.

The Can-Trace Standard defines the data requirements; it does not define how this standard should beimplemented.

Can-Trace Data StandardData Types:There are two types of data required for traceability: Master and Transactional data.

Master data is information that seldom changes. Master data applies to product, party and location information.It includes information such as product description, buyer identifier, location etc.

Transactional data is data that is unique to each individual transaction. Examples include lot number, shipmentidentifier and shipment date.

Data Usage:

As the name implies, mandatory data refers to the information that all supply chain partners areobliged to collect, keep, or share. Optional data are additional pieces of information that are useful butnot essential.

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Mandatory Data Elements:


NoData

AttributeName

Data Attribute Definition

3 Buyer Identifier A number or code that uniquely represents the party purchasing the product.

9 Lot Number A number or code assigned to uniquely represent a batch or group of inputs, products, and/or outputs. The Number is generally assigned by the company or individual creating the goods.

10 ProductDescription

A description of the product without any pre-defined format.

11 ProductIdentifier

A number or code that uniquely represents a commercial trade Item.

For Farm product: the product identifier uniquely distinguishes individual units of production (eg. animal, bin, catch, flock).

For processed or finished goods: the product identifier represents a seller's retail trade item (or product); or non-retail trade item (such as the case or master carton).

12 Quantity Count, net weight, or net volume of product (trade item) identified. (For a list of some common unit of measure codes, see Appendix G)

17 ShipmentIdentifier

A number or code that uniquely distinguishes a shipment of product. May be linked to a lot number.

20 Unit of Measure Description of the units in which a quantity is being expressed.

Note: Where this measure is used to describe weight, volume or count, a "net" value is applied. The term Net is taken to mean the product exclusive of its container or packaging.

Please refer to Appendix G for a list of common Unit of Measure codes.

23 Vendor/SupplierIdentifier

A number or code that uniquely represents the party selling the product.


Optional Data Elements:

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No Data Attribute Name Data Attribute Definition

1 Animal Age The birth date of the animal.

2 Best Before Date Product is the freshest to this date.

4 Buyer Name The name of the party purchasing the product

5 Contact Information The company contact information

6 Country of Origin, Province or State

The country in which the goods have been packed, processed, or manufactured. Where required includes Province or State.

Please refer to Appendix F for a list of ISO codes.

7 Date of Pack/Catch/Retirement

The date that the product was packed, in the case of fish the date caught, or in the case of livestock with an identification tag, the retirement (slaughter) date of the tag.

8 Logistics Provider Identifier

A number or code that uniquely represents a transporter, carrier, or other 3rd party logistics provider.

13 Receipt Date Date that the shipment is received at its destination.

14 Ship Date The date that goods were sent.

Traceability Functions:


No Data Attribute Name Data Attribute Definition

15 Ship From Location Identifier

A number or code that uniquely identifies origin of the shipment. This location may be a premises, or a specific company location such as a manufacturing plant.

16 Ship To Location Identifier

A number or code that represents destination of a shipment, which may be a premises or a specific company location.

18 Shipping Container Serial Number

A seller-assigned number that uniquely representsa logistic unit (eg. case or pallet).

19 Supplier License Number

Commercial License issued to a fishing boat or vessel.

21 Unit of Trade The logistic unit of weight of the product. This is the net weight.

22 Vehicle Identifier A number or code that uniquely represents a vehicle or a vessel transporting goods.

24 Vendor/Supplier Name The name of the party selling the goods.

NoData Attribute

NameTraceability Function

BasicElement of Traceability

1 Animal Age A food safety and quality attribute. E.g. Used for Bovine Encephalopathy (BSE), also called mad cow disease.

2 Best Before Date A food safety/food quality attribute which is sometimes used as the lot number to identify product in the event of a recall or food safety issue.

Product

3 Buyer Identifier Used to identify the responsible party (owner and/or receiver) to contact in the event of a recall, food safety or animal health issue.

Party/Location

4 Buyer Name Used to identify the responsible party (owner and/or receiver) to contact in the event of a recall, food safety or animal health issue.

Party


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5 Contact Information Name of the individual(s) to contact in the event of a recall, food safety or animal health issue and their co-ordinates.

Party

6 Country of Origin, Province or State

Used for market access where the country of origin is a regulatory issue.

7 Date of Pack/Catch/Retirement

A food safety/food quality attribute which is sometimes used as the lot number to identify product in the event of a recall or food safety issue.

Product

8 Logistics Provider Identifier

Used to identify the responsible party who handles the goods on behalf of the buyer, seller or both. Generally the sender, receiver or transporter.

Party/Location

9 Lot Number A unique ID which appears on boxes or labels and is used to track and locate product in the event of a recall or food safety issue.

Product

10 Product Description Used for product identification as a marking on the box or label. May also be used on pallet labels.

Product

11 Product Identifier Used for product identification on the box or label. May also be used for product identification on a pallet label. For livestock producers can be the Canadian Livestock Identification Agency animal identification number.

Global Item Trade Number (GTIN).

Product

12 Quantity Used to verify that all affected product can be accounted for in the event of a recall or food safety issue.

Product

13 Receipt Date May be used to find the existing location of product during a recall or food safety issue.

Location

14 Ship Date May be used to find the existing location of product during a recall or food safety issue.

Location

For packaged goods, can be the GS1


Location15 Ship From Location Identifier

Used to identify the premises or location that product is shipped from in order to establish movement history and product location in the event of a recall, food safety or animal health issue.

For livestock producers can be the premises ID. In the GS1 System, it can be the Global Location Number (GLN).

Location16 Ship To Location Identifier

Used to identify the premises or location that product is shipped to in order to establish movement history and product location in the event of a recall, food safety or animal health issue.

For livestock producers can be the premises ID. In the GS1 System, it canbe the Global Location Number (GLN).

17 Shipment Identifier Used to establish product movement between links in the supply chain, identify the responsible party (ownership, sender, transporter, receiver) & the contact in event of a recall, food safety or animal health issue, and to determine the existing location of the product or animal.

Party/Location

18 Shipping Container Serial Number

GS1 Serial Shipping Container Code (SSCC) - Used to identify unique pallets of product shipped betweentrading partners.

Product

19 Supplier License Number

Used to identify the vehicle of conveyance, and the location of product during transit as well as the responsible party, in the event of a recall or food safety issue.

Party/Location

20 Unit of Measure Used to verify that all affected product can be accounted for in the event of a recall or food safety issue.

Product

21 Unit of Trade Used for product identification as a marking on the box or label and/or to verify that all affected product can be accounted for in the event of a recall or food safety issue.

Product


- 40 -

22 Vehicle Identifier Used to identify the vehicle of conveyance, and the location of product during transit as well as the responsible party, in event of a recall, food safety or animal health issue.

Party/Location

23 Vendor/SupplierIdentifier

Used to identify the responsible party (owner and/or sender) to contact in the event of a recall, food safety or animal health issue.

Party

24 Vendor/Supplier Name Used to identify the responsible party (owner and/or sender) to contact in the event of a recall, food safety or animal health issue.

Party


Appendix B: Survey QuestionnaireC

an-T

race

Inte

gra

tio

n W

ork

ing

Gro

up

Pro

gra

m In

form

atio

n

Co

mp

aris

on

Su

rvey

of

Man

dat

ory

Tra

ceab

ility

Dat

a E

lem

ents

Pro

gra

m N

ame:

Pro

gra

m R

epre

sen

tati

ve:

Dat

e (d

d-M

on

-yy)

:

Inst

ruct

ion

s: T

he s

urve

y qu

estio

nnai

re c

onsi

sts

of a

des

crip

tion

of th

e pr

ogra

m's

trac

eabi

lity

obje

ctiv

es a

nd tw

o se

ts o

f “y

es /

no”

ques

tions

whi

ch w

ill b

e us

ed to

iden

tify

the

pote

ntia

l gap

s. A

ne

gativ

e re

spon

se w

ill id

entif

y a

gap.

1U

sing

the

mou

se p

oint

er p

ut a

che

ck m

ark

in th

e ap

prop

riate

col

umn

(Y/N

) be

side

eac

h qu

estio

n.

2Q

uest

ion

Set

2 r

equi

res

the

prog

ram

dat

a el

emen

t nam

es to

be

ente

red

in th

e T

erm

inol

ogy

&

Fun

ctio

ns C

omm

ents

fiel

d.

3W

here

dis

crep

enci

es e

xist

bet

wee

n th

e pr

ogra

m a

nd C

an-T

race

term

inol

ogy

& fu

nctio

ns, p

leas

e pr

ovid

e de

tails

in th

e T

erm

inol

ogy

& F

unct

ion

Com

men

ts fi

eld.

Pro

gra

m T

race

abili

ty O

bje

ctiv

es:

Set

1Id

enti

fy t

he

use

of

the

Can

-Tra

ce m

anad

ato

ry d

ata

elem

ents

in t

he

pro

gra

mY

N

Ter

min

olo

gy

& F

un

ctio

ns

Co

mm

ents

?

margorp eht yb de riuqer "re ifitnedI reyuB" ,3 .on tne

mele atad eca rT -na

C eht sI1. 1. 1 1.

1.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.1.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.2.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 9

, "Lo

t Num

ber"

req

uire

d by

the

prog

ram

?1.

2.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.2.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.3.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

0, "

Pro

duct

Des

crip

tion"

req

uire

d by

the

prog

ram

?1.

3.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.3.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.4.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

1, "

Pro

duct

Iden

tifie

r" r

equi

red

by th

e pr

ogra

m?

1.4.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

4.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

1.5.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

2, "

Qua

ntity

" re

quire

d by

the

prog

ram

?1.

5.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.5.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?


- 42 -

Can

-Tra

ce In

teg

rati

on

Wo

rkin

g G

rou

p

P

rog

ram

Info

rmat

ion

1.6.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

7, "

Shi

pmen

t Ide

ntifi

er"

requ

ired

by th

e pr

ogra

m?

1.6.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

6.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

1.7.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 2

0, "

Uni

t of

Mea

sure

" re

quire

d by

the

prog

ram

?1.

7.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.7.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.8.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 2

3, "

Ven

dor

/ Sup

plie

r Id

entif

ier"

req

uire

d by

the

prog

ram

?1.

8.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.8.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

Set

2Id

enti

fy t

he

use

of

pro

gra

m d

ata

elem

ents

wh

ich

are

no

t m

and

ato

ry in

Can

-Tra

ce

Y

NT

erm

ino

log

y &

Fu

nct

ion

s C

om

men

ts

:tn emele atad

margor p eht seoD

. 1. 2 2.1.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

1.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.1.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

1.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

:tn emele atad

margor p eht seoD

. 2. 2 2.2.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

2.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.2.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

2.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

:tnemele atad

margorp eht seoD

.3.2 2.3.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

3.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.3.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

3.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

:tn emel e at ad

ma rg or p eht se oD

. 4. 2 2.4.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

4.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.4.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

4.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?


Can

-Tra

ce In

teg

rati

on

Wo

rkin

g G

rou

p

P

rog

ram

Info

rmat

ion

:tnemele atad

ma rgo rp eht seoD

.5.2 2.5.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

5.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.5.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

5.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

:tnemele atad

margorp eht seoD

.6.2 2.6.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

6.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.6.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

6.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

:tnemele a ta d

margo rp e ht seoD

.7.2 2.7.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

7.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.7.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

7.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

:tnemele a ta d

margo rp e ht seoD

.8.2 2.8.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

8.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.8.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

8.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

:tnemele a ta d

margo rp eht seoD

.9.2 2.9.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

9.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.9.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

9.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

:tnemele atad

ma rgorp eht seoD

.01.2 2.10

.1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

10.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.10

.3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

10.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

Appendix C: Survey Results


- 44 -

Can-

Trac

e In

tegr

atio

n W

orki

ng G

roup

Prog

ram

Info

rmat

ion

Com

paris

on S

urve

y of

Man

dato

ry T

race

abili

ty D

ata

Elem

ents

Prog

ram

Nam

e:Ca

nadi

an Id

entit

y Pr

eser

vatio

n Re

cogn

ition

Sys

tem

Prog

ram

Rep

rese

ntat

ive:

Jo-A

nne

Suth

erla

ndD

ate

(dd-

Mon

-yy)

:18

-Nov

-05

Inst

ruct

ions

: T

he s

urve

y qu

estio

nnai

re c

onsi

sts

of a

des

crip

tion

of th

e pr

ogra

m's

trac

eabi

lity

obje

ctiv

es a

nd tw

o se

ts o

f “y

es /

no” q

uest

ions

whi

ch w

ill b

e us

ed to

iden

tify

the

pote

ntia

l gap

s. A

ne

gativ

e re

spon

se w

ill id

entif

y a

gap.

1U

sing

the

mou

se p

oint

er p

ut a

che

ck m

ark

in th

e ap

prop

riate

col

umn

(Y/N

) bes

ide

each

que

stio

n.

2Q

uest

ion

Set 2

requ

ires

the

prog

ram

dat

a el

emen

t nam

es to

be

ente

red

in th

e Te

rmin

olog

y &

Fu

nctio

ns C

omm

ents

fiel

d.

3W

here

dis

crep

enci

es e

xist

bet

wee

n th

e pr

ogra

m a

nd C

an-T

race

term

inol

ogy

& fu

nctio

ns, p

leas

e pr

ovid

e de

tails

in th

e Te

rmin

olog

y &

Fun

ctio

n Co

mm

ents

fiel

d.

Prog

ram

Tra

ceab

ility

Obj

ectiv

es:

The

CIPR

S st

anda

rd is

pro

cess

not

dat

a or

ient

ed.

The

stan

dard

des

crib

es th

e Q

MS

proc

ess

cont

rol r

ecor

ds (i

.e.

data

) to

be c

olle

cted

and

sto

red

for r

etrie

val.

The

stan

dard

is

not

pre

scrip

tive,

but

doe

s re

quire

trac

eabi

lity

and

audi

ts

to e

nsur

e th

at tr

acea

bilit

y is

in p

lace

with

in th

e co

mpa

ny's

scop

e of

ope

ratio

n.

Set 1

Iden

tify

the

use

of th

e Ca

n-Tr

ace

man

adat

ory

data

ele

men

ts in

the

prog

ram

Y N

Term

inol

ogy

& F

unct

ions

Com

men

ts

1.1.

1Is

the

Can-

Trac

e da

ta e

lem

ent n

o. 3

, "Bu

yer I

dent

ifier

" req

uire

d by

the

pro

gram

?Co

uld

be a

cus

tom

er n

umbe

r or b

uyer

nam

e.1.

1.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

The

buye

r cou

ld b

e id

entifi

ed b

y th

e co

ntra

ct n

umbe

r.1.

1.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

1.2.

1Is

the

Can-

Trac

e da

ta e

lem

ent n

o. 9

, "Lo

t Num

ber"

requ

ired

by th

e pr

ogra

m?

a f o esu nia hc ylpp us lan oit ida rt eht ot noitid da nI?) noitpircs ed ro e

man at ad( ygo lonimr et e

mas e ht esu margo rp eh t s eo

D2.2.1

lot

num

ber t

he p

rodu

ct m

ust a

lso

be tr

aced

bac

k to

the

indi

vidu

ally

iden

tified

fiel

d.1.

2.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

1.3.

1Is

the

Can-

Trac

e da

ta e

lem

ent n

o. 1

0, "

Prod

uct D

escr

iptio

n" re

quire

d by

the

prog

ram

?1.

3.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

The

prod

uct d

escr

iptio

n co

uld

also

incl

ude

the

seed

va

riety

as

wel

l as

addi

tiona

l cha

ract

eris

tics.


1.3.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

fitnedi eb yam tcudorp eht ,egarots nI

?margorp eht yb deriuqer "r ei fi tn ed I tc udor

P" , 11 .o n tn em el e at ad ec ar

T- naC eht sI

1 .4 .1ie

d by

a b

in n

umbe

r, in

con

junc

tion

with

the

prod

uct d

escr

iptio

n. In

tran

spor

t the

pr

oduc

t may

be

iden

tified

by

a co

ntai

ner s

eal n

umbe

r or a

ve

hicl

e (r

ail c

ar o

f ves

sel i

d), i

n co

njun

ctio

n w

ith th

e pr

oduc

t des

crip

tion.

(See

2.1

& 2

.2)

1.4.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

4.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

1.5.

1Is

the

Can-

Trac

e da

ta e

lem

ent n

o. 1

2, "

Qua

ntity

" req

uire

d by

the

prog

ram

?1.

5.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.5.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.6.

1Is

the

Can-

Trac

e da

ta e

lem

ent n

o. 1

7, "

Ship

men

t Ide

ntifi

er" r

equi

red

by th

e pr

ogra

m?

1.6.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

6.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

1.7.

1Is

the

Can-

Trac

e da

ta e

lem

ent n

o. 2

0, "

Uni

t of

Mea

sure

" req

uire

d by

the

prog

ram

?1.

7.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.7.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.8.

1Is

the

Can-

Trac

e da

ta e

lem

ent n

o. 2

3, "

Vend

or /

Supp

lier I

dent

ifier

" req

uire

d by

the

prog

ram

?Th

e su

pplie

r cou

ld b

e id

entifi

ed b

y th

e gr

ower

con

trac

t nu

mbe

r.1.

8.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.8.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

Set 2

Iden

tify

the

use

of p

rogr

am d

ata

elem

ents

whi

ch a

re n

ot m

anda

tory

in C

an-T

race

Y

NTe

rmin

olog

y &

Fun

ctio

ns C

omm

ents

2.1.

Doe

s th

e pr

ogra

m d

ata

elem

ent:

Vehi

cle

Iden

tifier

. stne

mpih s k lub ro f r ebm un le ssev ro rac lia r a eb dl uo

C? yranoitci

D ataD ecar

T-naC eht ni tsix

E1. 1.2

Vess

els

coul

d al

so re

quire

a h

old

num

ber.

2.1.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

1.3

Doe

s th

e pr

ogra

m u

se th

e Ca

n-Tr

ace

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

22 rebmun tn e

mele - r eif itn edI elcih eV

?n oit cnu f y tili baecart ecarT -n a

C eh t esu margo rp eh t se o

D4 .1.2 2.

2.D

oes

the

prog

ram

dat

a el

emen

t:Sh

ippi

ng C

onta

iner

Sea

l Num

ber

81 rebmun tne

mele - rebmu

N laireS reniatno

C gnippihS

? yranoi tciD ata

D ecarT -na

C eh t ni tsixE

1 .2.2 2.2.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

2.3

Doe

s th

e pr

ogra

m u

se th

e Ca

n-Tr

ace

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

2.2.

4D

oes

the

prog

ram

use

the

Can-

Trac

e tr

acea

bilit

y fu

nctio

n?Id

entifi

es th

e sh

ippi

ng c

onta

ine

r


- 46 -

Can-

Trac

e In

tegr

atio

n W

orki

ng G

roup

Prog

ram

Info

rmat

ion

Com

paris

on S

urve

y of

Man

dato

ry T

race

abili

ty D

ata

Elem

ents

Prog

ram

Nam

e:Ca

nadi

an P

ork

Coun

cil

Prog

ram

Rep

rese

ntat

ive:

Fran

çois

Béd

ard

Dat

e (d

d-M

on-y

y):

15-N

ov-0

5

Inst

ruct

ions

: T

he s

urve

y qu

estio

nnai

re c

onsi

sts

of a

des

crip

tion

of th

e pr

ogra

m's

trac

eabi

lity

obje

ctiv

es a

nd tw

o se

ts o

f “y

es /

no” q

uest

ions

whi

ch w

ill b

e us

ed to

iden

tify

the

pote

ntia

l gap

s. A

ne

gativ

e re

spon

se w

ill id

entif

y a

gap.

1U

sing

the

mou

se p

oint

er p

ut a

che

ck m

ark

in th

e ap

prop

riate

col

umn

(Y/N

) bes

ide

each

que

stio

n.

2Q

uest

ion

Set 2

requ

ires

the

prog

ram

dat

a el

emen

t nam

es to

be

ente

red

in th

e Te

rmin

olog

y &

Fu

nctio

ns C

omm

ents

fiel

d.

3W

here

dis

crep

enci

es e

xist

bet

wee

n th

e pr

ogra

m a

nd C

an-T

race

term

inol

ogy

& fu

nctio

ns, p

leas

e pr

ovid

e de

tails

in th

e Te

rmin

olog

y &

Fun

ctio

n Co

mm

ents

fiel

d.

Prog

ram

Tra

ceab

ility

Obj

ectiv

es:

The

CPC

is d

evel

opin

g a

trac

eabi

lity

syst

em to

trac

k sw

ine

mov

emen

t fro

m b

irth

to s

laug

hter

. The

pur

pose

s of

th

e sy

stem

are

to:

1. M

inim

ize

the

impa

ct o

f a fo

od s

afet

y cr

isis

or a

fore

ign

or d

omes

tic a

nim

al d

isea

se o

utbr

eak.

2.

Rein

forc

e ou

r dom

estic

and

exp

ort m

arke

t acc

ess

3.

Impr

ove

com

petit

iven

ess.

Set 1

Iden

tify

the

use

of th

e Ca

n-Tr

ace

man

adat

ory

data

ele

men

ts in

the

prog

ram

Y N

Term

inol

ogy

& F

unct

ions

Com

men

ts

retni fo reifitnedi eht metsys

CP

C eht nI?

margo rp eh t yb deriuq er "reifit nedI reyuB" ,3 .o n tne

mele atad ecarT-na

C eht sI1. 1. 1

est i

s th

e lo

catio

n (p

rem

ise)

to w

hich

the

anim

al is

shi

pped

. Thi

s is

due

to

the

fact

that

the

indu

stry

has

ver

tical

ly in

tegr

ated

sys

tem

s an

d an

ani

mal

can

be

ship

ped

from

one

loca

tion

to

anot

her,

with

no

chan

ge in

ow

ners

hip.

The

"Con

tact

" is

iden

tified

by

the

prem

ise

ID re

cord

whi

ch is

regi

ster

ed in

a

cent

ral d

atab

ase.

1.1.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

1.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?


eno morf rehtegot devo

m si taht slamina fo puorg

A?

margorp eh t yb deriu q er "r ebmu

N t oL " , 9 .o n t n em el e ata d eca r

T- naC e ht sI

1 .2. 1pr

emis

e to

ano

ther

pre

mis

e sh

are

a nu

mbe

r w

hich

id

entif

ies

the

grou

p. T

his

num

ber

is r

egis

tere

d in

a c

entr

al

data

base

. How

ever

in m

ost c

ases

ther

e is

no

phys

ical

id

entif

ier

of th

is g

roup

that

is p

lace

d on

the

anim

als

them

selv

es. T

he e

xcep

tion

wou

ld b

e a

slap

sho

ulde

r ta

too

whi

ch is

pla

ced

on a

nim

als

sent

to s

laug

hter

. See

S

hipm

ent I

dent

ifier

1.2.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

? tne

mevom eht elicnocer ot reifitnedi tne

mevom a sa des

U?noi tcn uf yti lib aec art e

mas eht esu ma rgorp eht seo

D3. 2. 1

of a

gro

up o

f ani

mal

s fr

om o

ne p

rem

ise

to a

noth

er. U

nlik

e a

proc

esso

r's lo

t num

ber

whe

re e

ach

unit

that

bel

ongs

to

the

lot s

hare

s th

e sa

me

prod

uctio

n at

trib

utes

, an

anim

al

will

bel

ong

to a

diff

eren

t gro

up n

umbe

r ea

ch ti

me

that

it is

m

oved

.

a naht lam ina fo ss alc a fo ero

m si si ht m etsys

CP

C e ht nI?

margorp eht y b d er iuqer " noi tpi rcseD tcu do r

P" ,01 .on tnemele at ad ec ar

T- n aC e ht sI

1. 3. 1pr

oduc

t des

crip

tion.

e.g

. wee

ner,

mar

ket h

og, e

tc.

1.3.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

3.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

n a y fitn edi y leu qin u ot de su si no itacif itn edI lami n

A?

margorp eht yb deriuqer "reifitnedI tcudorP" ,11 .on tne

mele ata d ecarT -n a

C e ht sI1. 4. 1

indi

vidu

al a

nim

al fo

r sp

ecifi

c m

ovem

ents

, suc

h as

co-

min

glin

g of

ani

mal

s w

here

the

final

des

tinat

ion

or n

ext

dest

inat

ion

is u

nkno

wn

e.g.

auc

tion,

sho

w, t

est s

tatio

n,

etc.

1.4.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

? ereh

w ,tnemevo

m lamina fo sepyt niatrec rof ylno tub se

Y?noi tc nuf yti libaecar t e

mas eh t esu margo rp eh t seo

D3 .4. 1

the

dest

inat

ion

prem

ise

is n

ot k

now

n at

the

time

of

ship

men

t.

1.5.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

2, "

Qua

ntity

" re

quire

d by

the

prog

ram

?1.

5.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

? noi tc nuf yti libaecar t e

mas eh t esu margo rp eht seo

D3 .5. 1

fo puorg a y fi tned i ot de su s i reifi tne di t nem pihs eh

T?

margorp eht yb deriuq er "reifit nedI tnempih

S" ,71 .o n tnemele atad ecar

T-naC eht sI

1.6.1an

imal

s th

at a

re m

oved

toge

ther

, at t

he s

ame

time,

on

the

sam

e ve

hicl

e of

con

veya

nce,

from

one

Pre

mis

e ID

to

anot

her

Pre

mis

e ID

.1.

6.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.6.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.7.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 2

0, "

Uni

t of

Mea

sure

" re

quire

d by

the

prog

ram

?


- 48 -

1.7.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

7.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

1.8.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 2

3, "

Ven

dor

/ Sup

plie

r Id

entif

ier"

req

uire

d by

the

prog

ram

?In

the

CP

C s

yste

m th

e id

entif

ier

of in

tere

st is

the

loca

tion

(pre

mis

e) fr

om w

hich

the

anim

al is

shi

pped

. Thi

s is

due

to

the

fact

that

the

indu

stry

has

ver

tical

ly in

tegr

ated

sys

tem

s an

d an

ani

mal

can

be

ship

ped

from

one

loca

tion

to

anot

her,

with

no

chan

ge in

ow

ners

hip.

The

"C

onta

ct"

is

iden

tifie

d by

the

prem

ise

ID r

ecor

d w

hich

is r

egis

tere

d in

a

cent

ral d

atab

ase.

1.8.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

8.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

Set

2Id

enti

fy t

he

use

of

pro

gra

m d

ata

elem

ents

wh

ich

are

no

t m

and

ato

ry in

Can

-Tra

ce

Y

NT

erm

ino

log

y &

Fu

nct

ion

s C

om

men

ts

2.1.

D

oes

the

prog

ram

dat

a el

emen

t:

C

onve

yanc

e Id

entif

ier

2.1.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?V

ehic

le Id

entif

ier

- el

emen

t num

ber

222.

1.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

.relia rt eht fo eta lp esn ec il eht eb t suM

?)no itpircsed ro ema n atad( ygolon i

mret ec arT -na

C eh t esu margo rp eht s eo

D3. 1. 2 2.

1.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

2.2.

D

oes

the

prog

ram

dat

a el

emen

t:

D

ate

of S

hipm

ent

2.2.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?S

hip

Dat

e -

elem

ent n

umbe

r 14

2.2.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

2.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

2.2.

4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

2.3.

D

oes

the

prog

ram

dat

a el

emen

t:

D

ate

of R

ecei

pt2.

3.1

Exi

st in

the

Can

-Tra

ce D

ata

Dic

tiona

ry ?

Rec

eipt

Dat

e -

elem

ent n

umbe

r 13

2.3.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

3.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

?noit cnu f y tilib aecart ecar

T -naC eh t esu

margo rp eh t seoD

4.3. 2 2.4.

D

oes

the

prog

ram

dat

a el

emen

t:

T

ime

of S

hipm

ent

2.4.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

4.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.4.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

4.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

2.5.

D

oes

the

prog

ram

dat

a el

emen

t:

T

ime

of R

ecei

pt2.

5.1

Exi

st in

the

Can

-Tra

ce D

ata

Dic

tiona

ry ?

2.5.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

5.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

2.5.

4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?


2.6.

D

oes

the

prog

ram

dat

a el

emen

t:

P

rem

ise

ID o

f Shi

pmen

t Orig

in51 reb

mun tnemele - reifitnedI noitacoL

morF pih

S? yra noi tc i

D a taD ecar

T -naC eh t n i ts ix

E1 .6. 2 2.

6.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.6.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

? n i derots si taht esi

merp hcae ot dengissa rebmun euqin

U?noi tcnu f yt ilib aecart ecar

T -naC eh t es u

margo rp eht seoD

4 .6.2a

cent

ral r

egis

try

(CLI

A).

2.7.

D

oes

the

prog

ram

dat

a el

emen

t:

P

rem

ise

ID o

f Shi

pmen

t Des

tinat

ion

61 rebmun tne

mele - reifitnedI noitacoL oT pih

S? yr anoi tci

D ataD ecar

T-n aC eh t ni tsix

E1 .7.2 2.

7.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.7.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

? ni derots si taht esi


U?no itcnu f ytilibaecart ecar

T -n aC eht esu

marg or p eht seoD

4.7.2a

cent

ral r

egis

try

(CLI

A).


- 50 -

Can

-Tra

ce In

teg

rati

on

Wo

rkin

g G

rou

p

P

rog

ram

Info

rmat

ion

Co

mp

aris

on

Su

rvey

of

Man

dat

ory

Tra

ceab

ility

Dat

a E

lem

ents

Pro

gra

m N

ame:

Dai

ry F

arm

ers

of C

anad

a C

anad

ian

Qua

lity

Milk

Pro

gram

Pro

gra

m R

epre

sen

tati

ve:

Nic

ole

Sill

ett

Dat

e (d

d-M

on

-yy)

:23

-Nov

-05

Inst

ruct

ion

s: T

he s

urve

y qu

estio

nnai

re c

onsi

sts

of a

des

crip

tion

of th

e pr

ogra

m's

trac

eabi

lity

obje

ctiv

es a

nd tw

o se

ts o

f “y

es /

no”

ques

tions

whi

ch w

ill b

e us

ed to

iden

tify

the

pote

ntia

l gap

s. A

ne

gativ

e re

spon

se w

ill id

entif

y a

gap.

1U

sing

the

mou

se p

oint

er p

ut a

che

ck m

ark

in th

e ap

prop

riate

col

umn

(Y/N

) be

side

eac

h qu

estio

n.

2Q

uest

ion

Set

2 r

equi

res

the

prog

ram

dat

a el

emen

t nam

es to

be

ente

red

in th

e T

erm

inol

ogy

&

Fun

ctio

ns C

omm

ents

fiel

d.

3W

here

dis

crep

enci

es e

xist

bet

wee

n th

e pr

ogra

m a

nd C

an-T

race

term

inol

ogy

& fu

nctio

ns, p

leas

e pr

ovid

e de

tails

in th

e T

erm

inol

ogy

& F

unct

ion

Com

men

ts fi

eld.

Pro

gra

m T

race

abili

ty O

bje

ctiv

es:

The

CQ

M r

equi

res

trac

eabi

lity

in a

ccor

danc

e w

ith A

TQ

re

gula

tions

in Q

uebe

c an

d in

acc

orda

nce

with

CC

IA

regu

latio

ns in

the

rest

of C

anad

a. In

add

ition

the

CQ

M

requ

ires

the

uniq

ue id

entif

icat

ion

of e

ach

anim

al o

n th

e fa

rm fo

r th

e pu

rpos

e of

rec

ordi

ng e

ach

anim

al's

trea

tmen

t hi

stor

y. It

sho

uld

be n

oted

that

the

answ

ers

to th

e su

rvey

qu

estio

ns r

efle

ct th

e m

inim

um r

equi

rem

ents

of t

he C

CIA

re

gula

tions

and

not

thos

e of

the

AT

Q. I

f the

gap

s w

ere

to

be id

entif

ied

in c

ompa

rison

with

the

AT

Q r

egul

atio

ns th

en

the

resp

onse

s to

the

surv

ey q

uest

ions

wou

ld b

e di

ffere

nt.

Set

1Id

enti

fy t

he

use

of

the

Can

-Tra

ce m

anad

ato

ry d

ata

elem

ents

in t

he

pro

gra

mY

N

Ter

min

olo

gy

& F

un

ctio

ns

Co

mm

ents

?

margo rp eh t yb deriuqer "reif itn edI reyuB" ,3 .on tne

mele atad ec arT-na

C eht sI1 .1 .1 1.

1.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.1.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.2.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 9

, "Lo

t Num

ber"

req

uire

d by

the

prog

ram

?1.

2.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.2.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.3.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

0, "

Pro

duct

Des

crip

tion"

req

uire

d by

the

prog

ram

?1.

3.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.3.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?


1.4.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

1, "

Pro

duct

Iden

tifie

r" r

equi

red

by th

e pr

ogra

m?

1.4.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?A

nim

al id

entif

icat

ion

num

ber.

Not

e in

the

CQ

M p

rogr

am

this

cou

ld b

e th

e pr

oduc

er's

tag

or ID

, sin

ce th

e C

CIA

re

gula

tions

onl

y re

quire

the

anim

al to

be

iden

tifie

d be

fore

it

leav

es th

e fa

rm o

f orig

in.

1.4.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?C

CIA

& u

niqu

e pr

oduc

er ta

g or

ID

1.5.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

2, "

Qua

ntity

" re

quire

d by

the

prog

ram

?H

ead

coun

t is

requ

ired

(by

defa

ult 1

per

uni

t)1.

5.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.5.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.6.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

7, "

Shi

pmen

t Ide

ntifi

er"

requ

ired

by th

e pr

ogra

m?

1.6.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

6.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

1.7.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 2

0, "

Uni

t of

Mea

sure

" re

quire

d by

the

prog

ram

?1.

7.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.7.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.8.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 2

3, "

Ven

dor

/ Sup

plie

r Id

entif

ier"

req

uire

d by

the

prog

ram

?1.

8.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.8.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?F

or th

e pu

rpos

e of

iden

tifyi

ng th

e fa

rm o

f orig

in, n

ot th

e tr

ansf

er o

f ow

ners

hip.

Set

2Id

enti

fy t

he

use

of

pro

gra

m d

ata

elem

ents

wh

ich

are

no

t m

and

ato

ry in

Can

-Tra

ce

Y

NT

erm

ino

log

y &

Fu

nct

ion

s C

om

men

ts

:tnemele atad

margorp eht s eoD

.1.2F

arm

of O

rigin

Con

tact

Info

rmat

ion

2.1.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?C

onta

ct in

form

atio

n -

elem

ent n

umbe

r 5

2.1.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

1.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

2.1.

4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?


- 52 -

Can

-Tra

ce In

teg

rati

on

Wo

rkin

g G

rou

p

P

rog

ram

Info

rmat

ion

Co

mp

aris

on

Su

rvey

of

Man

dat

ory

Tra

ceab

ility

Dat

a E

lem

ents

Pro

gra

m N

ame:

Equ

ine

Can

ada

Pro

gra

m R

epre

sen

tati

ve:

Vel

Eva

nsD

ate

(dd

-Mo

n-y

y):

15-N

ov-0

5

Inst

ruct

ion

s: T

he s

urve

y qu

estio

nnai

re c

onsi

sts

of a

des

crip

tion

of th

e pr

ogra

m's

trac

eabi

lity

obje

ctiv

es a

nd tw

o se

ts o

f “y

es /

no”

ques

tions

whi

ch w

ill b

e us

ed to

iden

tify

the

pote

ntia

l gap

s. A

ne

gativ

e re

spon

se w

ill id

entif

y a

gap.

1U

sing

the

mou

se p

oint

er p

ut a

che

ck m

ark

in th

e ap

prop

riate

col

umn

(Y/N

) be

side

eac

h qu

estio

n.

2Q

uest

ion

Set

2 r

equi

res

the

prog

ram

dat

a el

emen

t nam

es to

be

ente

red

in th

e T

erm

inol

ogy

&

Fun

ctio

ns C

omm

ents

fiel

d.

3W

here

dis

crep

enci

es e

xist

bet

wee

n th

e pr

ogra

m a

nd C

an-T

race

term

inol

ogy

& fu

nctio

ns, p

leas

e pr

ovid

e de

tails

in th

e T

erm

inol

ogy

& F

unct

ion

Com

men

ts fi

eld.

Pro

gra

m T

race

abili

ty O

bje

ctiv

es:

To

supp

ort t

he e

cono

mic

sus

tain

abili

ty o

f the

Can

adia

n E

quin

e se

ctor

with

a n

atio

nal e

quin

e id

entif

icat

ion

and

trac

king

sys

tem

that

: 1. M

inim

izes

the

risk

& im

pact

of

cont

agio

us d

isea

se o

utbr

eaks

eith

er fo

r an

imal

hea

lth

emer

genc

ies

affe

ctin

g ho

rses

or

othe

r liv

esto

ck in

Can

ada

or h

uman

hea

lth.

2. M

eets

inte

rnat

iona

l sta

ndar

ds fo

r eq

uine

ID &

mov

emen

t tra

ckin

g as

req

uire

d to

ens

ure

cont

inue

d in

tern

atio

nal m

ovem

ent f

or C

anad

ian

hors

es fo

r sp

ort b

reed

ing

& r

ecre

atio

n. 3

. Pro

vide

s th

e re

port

ing

infr

astr

uctu

re to

rec

ord

heal

th s

tatu

s at

the

time

of

slau

ghte

r af

fect

ing

mea

t qua

lity

& s

afet

y fo

r ho

rses

as

food

ani

mal

s as

req

uire

d by

cur

rent

& fu

ture

reg

ulat

ions

.

Set

1Id

enti

fy t

he

use

of

the

Can

-Tra

ce m

anad

ato

ry d

ata

elem

ents

in t

he

pro

gra

mY

N

Ter

min

olo

gy

& F

un

ctio

ns

Co

mm

ents

?

margo rp eht yb de riuq er " rei fit ned I reyuB" ,3 .o n tne

mele a tad ecarT -na

C eh t s I1.1.1 1.

1.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.1.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

s esro h r of desu eb lliw

D I lau di vid ni euq in u yl nO

?margorp eht yb deriuqer "reb

muN toL" ,9 .on tne

mele atad ecarT-na

C eht sI1.2.1 1.

2.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.2.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?


1.3.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

0, "

Pro

duct

Des

crip

tion"

req

uire

d by

the

prog

ram

?1.

3.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.3.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

rebmu

N efiL eniuqE euqin

U - NL

EU

?margorp eht yb d er iu qer "reifit nedI tcu d or

P " ,1 1 .o n t n eme l e a ta d e ca r

T -n aC e ht s I

1. 4. 1 1.4.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

4.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

?

margorp eht yb d er iu qe r "y titn auQ" ,2 1 .o n t n e

m el e ata d e ca rT- na

C eht sI1 .5 .1 1.

5.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.5.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

tropsnart yrotadnam a si ereht ereh

W?

margorp eh t yb deriu qe r "reifi tnedI tnemp ih

S" ,71 .on tnem el e at ad e car

T- naC eh t sI

1 .6 .1m

anife

st r

equi

red,

th

is w

ill b

e co

nsid

ered

to b

e th

e S

hipm

ent I

dent

ifier

.

1.6.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

6.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

1.7.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 2

0, "

Uni

t of

Mea

sure

" re

quire

d by

the

prog

ram

?1.

7.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.7.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.8.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 2

3, "

Ven

dor

/ Sup

plie

r Id

entif

ier"

req

uire

d by

the

prog

ram

?1.

8.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.8.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

Set

2Id

enti

fy t

he

use

of

pro

gra

m d

ata

elem

ents

wh

ich

are

no

t m

and

ato

ry in

Can

-Tra

ce

Y

NT

erm

ino

log

y &

Fu

nct

ion

s C

om

men

ts

2.1.

Doe

s th

e pr

ogra

m d

ata

elem

ent:

Con

veya

nce

Iden

tifie

r2.

1.1

Exi

st in

the

Can

-Tra

ce D

ata

Dic

tiona

ry ?

Veh

icle

Iden

tifie

r -

elem

ent n

umbe

r 22

2.1.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?. re liart eht fo etal p esn eci l e ht eb tsu

M? )noit pircsed ro e

man ata d( ygolonim re t ecar

T-naC eht esu

margorp eht seoD

3.1.2 2.1.

4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

2.2.

Doe

s th

e pr

ogra

m d

ata

elem

ent:

Dat

e of

Shi

pmen

t2.

2.1

Exi

st in

the

Can

-Tra

ce D

ata

Dic

tiona

ry ?

Shi

p D

ate

- el

emen

t num

ber

142.

2.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.2.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

2.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

2.3.

Doe

s th

e pr

ogra

m d

ata

elem

ent:

Dat

e of

Rec

eipt

2.3.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?R

ecei

pt D

ate

- el

emen

t num

ber

132.

3.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?


- 54 -

2.3.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?

? noi tc n uf yt i liba eca rt eca rT- na

C eht es u m ar g or p e ht seo

D4.3 .2 2.

4.

Doe

s th

e pr

ogra

m d

ata

elem

ent:

Tim

e of

Shi

pmen

t2.

4.1

Exi

st in

the

Can

-Tra

ce D

ata

Dic

tiona

ry ?

2.4.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

4.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

2.4.

4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

2.5.

D

oes

the

prog

ram

dat

a el

emen

t:

T

ime

of R

ecei

pt2.

5.1

Exi

st in

the

Can

-Tra

ce D

ata

Dic

tiona

ry ?

2.5.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

5.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

2.5.

4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

2.6.

D

oes

the

prog

ram

dat

a el

emen

t:

P

rem

ise

ID o

f Shi

pmen

t Orig

in51 r eb

mun tn eme le - reifit nedI no itaco L

morF pih

S? yranoitci

D ataD ecar

T- naC e ht n i ts ix

E1.6 .2 2.

6.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.6.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

? ni derots si taht esi


U?noi tcnuf ytiliba ec ar t ecar

T-naC e ht esu

margorp e ht s eoD

4. 6. 2a

cent

ral r

egis

try

(CLI

A).

2.7.

D

oes

the

prog

ram

dat

a el

emen

t:

P

rem

ise

ID o

f Shi

pmen

t Des

tinat

ion

61 rebmun tne

mele - reifitnedI noitacoL mor

F pihS

? yra noitciD a ta

D ec arT-na

C e ht ni ts ixE

1 .7. 2 2.7.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

7.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

ni derots si taht esimerp hcae ot dengissa reb

mun euqinU

?noi tcnuf ytiliba ec ar t ecarT-na

C eht esu margorp eh t seo

D4. 7. 2

a ce

ntra

l reg

istr

y (C

LIA

).

2.8.

D

oes

the

prog

ram

dat

a el

emen

t:

R

egis

try

Org

aniz

atio

n N

o. &

Sup

plem

enta

l No.

if r

eq'd

. D

atab

ase

of R

ecor

d. Id

entif

ies

the

data

base

age

nt.

? yran oitci

D a taD ec ar

T-naC eht ni ts ix

E1. 8.2 2.

8.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.8.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

? .

mets ys re it 3 a fo t ra p si me tsys ada na

C eniuqE eh

T?noitcn uf ytil ibaecar t ecar

T- naC e ht esu

margorp eht s eoD

4.8.2E

quin

e C

anad

a's

data

base

is a

n ag

ent t

o th

e C

LIA

's

data

base

and

in tu

rn h

as d

atab

ase

agen

ts to

its

own

data

base

.

2.9.

D

oes

the

prog

ram

dat

a el

emen

t:

D

ate

of B

irth

2.9.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?A

nim

al A

ge -

ele

men

t num

ber

1 2.

9.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.9.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?


2.9.

4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

htriB fo rae

Y :tne

mele atad margorp eht seo

D .0 1. 2 2.

10.1

Exi

st in

the

Can

-Tra

ce D

ata

Dic

tiona

ry ?

2.10

.2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

10.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

2.10

.4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

maD eht fo

NLE

U & e

maN

:tnemele atad

margorp eht seoD

. 11 .2 2.11

.1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

11.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.11

.3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

11.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

eriS fo

NLE

U & e

maN

:tnemele atad

margorp eht seoD

. 21 .2 2.12

.1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

12.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.12

.3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

12.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

:tnemele atad

margorp eht seoD

. 3 1.2S

et o

f Pre

mis

e ID

's: B

irth,

Res

iden

ce, A

ctiv

ity

? yranoi tciD ata

D e ca rT -n a

C eht n i ts ixE

1. 31. 2 2.13

.2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

13.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

2.13

.4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

:tnemele atad

margorp eht seoD

.4 1. 2P

edig

ree

Nam

e &

Com

petit

iion

Nam

e if

diffe

rent

2.14

.1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

14.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.14

.3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

14.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

r edn eG

: tnem ele at ad

m argorp eht seoD

.51.2 2.15

.1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

15.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.15

.3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

15.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

re vo c ot s dlei f etarap es 71 - ledoM n oit pi rcse

D lau siV

:tnemele ata d

m ar gorp eht seoD

.61.2co

lour

s &

mar

king

s of

hor

se, d

ate

of ID

& p

erso

n m

akin

g th

e ID

2.16

.1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

16.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?


- 56 -

2.16

.3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

16.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

rebmu

N eciveD ro pihcorci

M :tne


D . 7 1.2 2.

17.1

Exi

st in

the

Can

-Tra

ce D

ata

Dic

tiona

ry ?

2.17

.2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

17.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

2.17

.4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

stnemel

E ataD yrotsi

H noitacilppA gur

D :tne


D .8 1. 2 2.

18.1

Exi

st in

the

Can

-Tra

ce D

ata

Dic

tiona

ry ?

2.18

.2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

18.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

ekam snoitacilppa gurd niatrec sa ytefas doof ot setale

R?noit cnu f yt ilib aec art ec ar

T -n aC eht esu

ma rgorp eht seoD

4 .8 1. 2th

e an

imal

unf

it fo

r fo

od. -

- fo

r an

y cu

rren

t or

futu

re

regu

late

d re

port

ing

requ

irem

ents

onl

y …

stnemel

E a taD l as op si

D : tne

mele at ad m ar gorp eht s eo

D .9 1. 2 2.

19.1

Exi

st in

the

Can

-Tra

ce D

ata

Dic

tiona

ry ?

2.19

.2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

19.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

gnid ulcni esro h a ro f drocer emit-efil a " gniri te r" ot setale

R?n oit cnu f y tili baecart ecar

T -n aC eh t esu

m ar go rp eht s eoD

4. 91. 2re

port

ing

expo

rt o

f the

ani

mal

, mea

ns o

f dea

th (

slau

ghte

r,

euth

aniz

atio

n, n

atur

al c

ause

s) a

nd m

etho

d of

car

cass

di

spos

al, w

ith r

elat

ed d

ate

info

rmat

ion.


Can

-Tra

ce In

teg

rati

on

Wo

rkin

g G

rou

p

P

rog

ram

Info

rmat

ion

Co

mp

aris

on

Su

rvey

of

Man

dat

ory

Tra

ceab

ility

Dat

a E

lem

ents

Pro

gra

m N

ame:

Can

adia

n H

erb,

Spi

ce &

Nat

ural

Hea

lth P

rodu

ct C

oalit

ion

Pro

gra

m R

epre

sen

tati

ve:

Con

nie

Keh

ler

Dat

e (d

d-M

on

-yy)

:18

-Oct

-05

Inst

ruct

ion

s: T

he s

urve

y qu

estio

nnai

re c

onsi

sts

of a

des

crip

tion

of th

e pr

ogra

m's

trac

eabi

lity

obje

ctiv

es a

nd tw

o se

ts o

f “y

es /

no”

ques

tions

whi

ch w

ill b

e us

ed to

iden

tify

the

pote

ntia

l gap

s. A

ne

gativ

e re

spon

se w

ill id

entif

y a

gap.

1U

sing

the

mou

se p

oint

er p

ut a

che

ck m

ark

in th

e ap

prop

riate

col

umn

(Y/N

) be

side

eac

h qu

estio

n.2

Que

stio

n S

et 2

req

uire

s th

e pr

ogra

m d

ata

elem

ent n

ames

to b

e en

tere

d in

the

Ter

min

olog

y &

F

unct

ions

Com

men

ts fi

eld.

3W

here

dis

crep

enci

es e

xist

bet

wee

n th

e pr

ogra

m a

nd C

an-T

race

term

inol

ogy

& fu

nctio

ns, p

leas

e pr

ovid

e de

tails

in th

e T

erm

inol

ogy

& F

unct

ion

Com

men

ts fi

eld.

Pro

gra

m T

race

abili

ty O

bje

ctiv

es:

Use

trac

eabi

lity

for

iden

tity

and

cont

amin

ant i

dent

ifica

tion,

ris

k m

anag

emen

t and

lim

it of

liab

ility

Set

1Id

enti

fy t

he

use

of

the

Can

-Tra

ce m

anad

ato

ry d

ata

elem

ents

in t

he

pro

gra

mY

N

Ter

min

olo

gy

& F

un

ctio

ns

Co

mm

ents

1.1.

1

?margorp eht yb deriuq er "rei fit ned I reyu

B " ,3 .o n tnemele atad e ca r

T-naC e ht s I

1.1.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?R

ecei

ver

of th

e go

ods,

not

nec

essa

rily

a tr

ansf

er o

f ow

ners

hip

1.1.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.2.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 9

, "Lo

t Num

ber"

req

uire

d by

the

prog

ram

?1.

2.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.2.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.3.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

0, "

Pro

duct

Des

crip

tion"

req

uire

d by

the

prog

ram

?

& suneg( eman cifitneics sti yb debircsed si tcudorp eh

T? )no itp irc sed ro e

ma n a tad( ygolon im re t e

mas eht esu margorp eht seo

D2.3. 1

spec

ies)

and

com

mon

nam

e, a

s th

ey a

ppea

r on

the

Cer

tific

ate

of A

uthe

ntic

ity/Id

entit

y eht ot deknil eb tsu

m dna tpek eb ot deriuqer si noitamrofnI

?n oitcnuf ytili baecart emas eht esu

marg or p e ht seoD

3.3.1lo

t or

batc

h, b

ut m

ay n

ot a

lway

s be

mar

ked

on th

e co

ntai

ner

or th

e bo

x


- 58 -

1.4.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

1, "

Pro

duct

Iden

tifie

r" r

equi

red

by th

e pr

ogra

m?

a sevres rebmun tol eht level recudorp yra

mirp eht tA

? )n oi tp ir csed ro ema n atad ( yg o lo ni

mret ema s eht es u

m ar g or p e ht seoD

2.4 .1s

the

iden

tifie

r. T

he in

form

atio

n ke

pt w

ith th

is lo

t num

ber

iden

tifie

s th

e pr

oduc

t. E

.g. F

ield

& d

ate

of h

arve

st, s

ampl

e ID

, etc

.1.

4.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

1.5.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

2, "

Qua

ntity

" re

quire

d by

the

prog

ram

?1.

5.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.5.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.6.

1

?margorp eht yb deriuqer "reif itn edI tne

mpi hS " , 71 . on tn e

me le at ad ec arT-n a

C e ht sI1.

6.2

esoprup siht rof desu si rebmun tol eh

T?)noi tpi rcsed r o e

man atad( yg ol onim re t e

mas e ht e su m ar go rp e ht s eo

D1.

6.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

1.7.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 2

0, "

Uni

t of

Mea

sure

" re

quire

d by

the

prog

ram

?1.

7.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.7.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.8.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 2

3, "

Ven

dor

/ Sup

plie

r Id

entif

ier"

req

uire

d by

the

prog

ram

? fo refsnart a ylirassecen ton ,sdoog eht fo redne

S?)noi tpir csed ro e

ma n a tad ( y golon imret e

ma s e ht e su margorp eht s eo

D2. 8. 1 1.

8.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

Set

2Id

enti

fy t

he

use

of

pro

gra

m d

ata

elem

ents

wh

ich

are

no

t m

and

ato

ry in

Can

-Tra

ce

Y

NT

erm

ino

log

y &

Fu

nct

ion

s C

om

men

ts

2.1.

Doe

s th

e pr

ogra

m d

ata

elem

ent:

Vou

cher

Spe

cim

en2.

1.1

Exi

st in

the

Can

-Tra

ce D

ata

Dic

tiona

ry ?

2.1.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?p( tcudorp eht fo noitatneserper lacisyhp lausi

V?)n oit pirc sed ro e

m an ata d( ygol onimre t ecar

T -naC eht esu

margorp eht seoD

3.1.2re

ss o

r ph

oto

of p

lant

)2.

1.4

n oit ac ifitned i t nal p rof desU

?noitcnuf ytilibaecart ecarT-n a

C eht esu margorp eht seo

D

2.2.

Doe

s th

e pr

ogra

m d

ata

elem

ent:

Ret

entio

n S

ampl

e2.

2.1

Exi

st in

the

Can

-Tra

ce D

ata

Dic

tiona

ry ?

2.2.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?pihs ro ,hctab ,tol a fo elp

mas evitatneserper A

?)n oit pirc sed ro em an at a d( ygol oni

mre t ecarT-na


D3.2. 2

men

t of a

he

rb th

at is

ret

aine

d by

the

supp

lier

whe

n th

e lo

t, ba

tch,

or

ship

men

t is

sold

up

the

supp

ly c

hain

ksir

& noitacifitnedi tnanimatnoc dna tnalp rof des

U?noi tcnuf yt ilibaecar t ec ar

T-naC eh t esu

m ar gorp eht seoD

4. 2.2m

anag

emen

t


Can

-Tra

ce In

teg

rati

on

Wo

rkin

g G

rou

pn

oitamr

ofnI

marg

orP

Co

mp

aris

on

Su

rvey

of

Man

dat

ory

Tra

ceab

ility

Dat

a E

lem

ents

Pro

gra

m N

ame:

Can

adia

n Li

vest

ock

Iden

tific

atio

n A

genc

yP

rog

ram

Rep

rese

nta

tive

:M

icha

el D

exte

rD

ate

(dd

-Mo

n-y

y):

Nov

embe

r 17

, 200

5

Inst

ruct

ion

s: T

he s

urve

y qu

estio

nnai

re c

onsi

sts

of a

des

crip

tion

of th

e pr

ogra

m's

trac

eabi

lity

obje

ctiv

es a

nd tw

o se

ts o

f “y

es /

no”

ques

tions

whi

ch w

ill b

e us

ed to

iden

tify

the

pote

ntia

l gap

s. A

ne

gativ

e re

spon

se w

ill id

entif

y a

gap.

1U

sing

the

mou

se p

oint

er p

ut a

che

ck m

ark

in th

e ap

prop

riate

col

umn

(Y/N

) be

side

eac

h qu

estio

n.

2Q

uest

ion

Set

2 r

equi

res

the

prog

ram

dat

a el

emen

t nam

es to

be

ente

red

in th

e T

erm

inol

ogy

&

Fun

ctio

ns C

omm

ents

fiel

d.

3W

here

dis

crep

enci

es e

xist

bet

wee

n th

e pr

ogra

m a

nd C

an-T

race

term

inol

ogy

& fu

nctio

ns, p

leas

e pr

ovid

e de

tails

in th

e T

erm

inol

ogy

& F

unct

ion

Com

men

ts fi

eld.

Pro

gra

m T

race

abili

ty O

bje

ctiv

es:

1. T

he o

bjec

tive(

s) o

f the

Cor

pora

tion

are:

(i) T

o pr

ovid

e fo

r th

e de

velo

pmen

t, ad

min

istr

atio

n an

d m

aint

enan

ce o

f a n

atio

nal m

ulti-

spec

ies

data

base

for

lives

tock

iden

tific

atio

n, tr

acea

bilit

y an

d liv

esto

ck p

rem

ises

id

entif

icat

ion

(ii)

To

deve

lop

natio

nal s

tand

ards

and

min

imum

crit

eria

for

mul

ti-sp

ecie

s Id

entif

icat

ion

and

trac

eabi

lity

for

spec

ies

in C

anad

a (ii

i) T

o pr

ovid

e a

plat

form

(fo

rum

) fo

r di

scus

sion

s an

d po

licy

deve

lopm

ent o

n liv

esto

ck

iden

tific

atio

n an

d tr

acea

bilit

y fo

r an

imal

hea

lth e

mer

genc

y m

anag

emen

t and

food

sa

fety

2. T

he c

orpo

ratio

n ha

s be

en fo

rmed

for

the

purp

ose

of p

erfo

rmin

g ag

reed

upo

n se

rvic

es fo

r an

d on

beh

alf o

f the

mem

bers

of t

he C

orpo

ratio

n. W

ithou

t res

tric

ting

the

gene

ralit

y of

the

fore

goin

g on

e of

the

serv

ices

to b

e pr

ovid

ed b

y th

e C

orpo

ratio

n is

the

deve

lopm

ent,

mai

nten

ance

, adm

inis

trat

ion

and

man

agem

ent o

f the

nat

iona

l mul

ti-sp

ecie

s da

taba

se s

yste

m u

sed

by th

e Li

vest

ock

Indu

stry

Mem

bers

for

shar

ed d

ata,

m

eetin

g m

inim

um s

tand

ards

and

crit

eria

, com

mon

to a

ll sp

ecie

s.3.

With

the

exce

ptio

n of

the

natio

nal m

ulti-

spec

ies

data

base

sys

tem

of s

hare

d da

ta,

the

Live

stoc

k In

dust

ry M

embe

rs o

f the

Cor

pora

tion

are

resp

onsi

ble

for

deve

lopi

ng a

nd

Set

1Id

enti

fy t

he

use

of

the

Can

-Tra

ce m

anad

ato

ry d

ata

elem

ents

in t

he

pro

gra

mst

nem

mo

C sn

oit cn

uF

& yg

olo

n imre

TN

Y

a eht gniviecer sesimerp eht - yltceridnI

?ma rgo rp eh t y b de riuq er "re ifit nedI rey u

B" ,3 .o n tneme le a tad e car

T -naC e ht sI

1. 1.1ni

mal

s m

ust b

e id

entif

ied

1.1.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

1.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

1.2.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 9

, "Lo

t Num

ber"

req

uire

d by

the

prog

ram

?1.

2.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.2.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?


- 60 -

hcae - citamotua eb lli

w siht tub deifitnedi eb lliw seiceps eht

metsys lanoitan eht nI?

mar gorp eht y b de riuq er "noi tpi rc seD tcudo r

P" ,01 .o n tnem ele atad e ca r

T -naC eht s I

1 .3.1sp

ecie

s w

ill h

ave

thei

r ow

n sy

stem

whi

ch w

ill fe

ed in

to th

e na

tiona

l rep

osito

ry.

1.3.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

3.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

noitacifitnedi )puorg ro( lamina laudividnI

?margorp eht yb d eri uqer "reifi tned I tcudor

P" ,11 .on tneme le a tad e ca r

T -naC e ht s I

1. 4.1DI puorg ro la

minA

?) noitp ircsed r o eman ata d( ygoloni

m ret emas eh t e su

ma rgo rp eh t seoD

2 .4.1 1.4.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

fo rebmun eht spuorg hti

W .detroper si lamina hcae - di laudividni hti

w tluafed yB

?margor p e ht y b de riu qer "y tit nau

Q" , 21 .on tnemele a tad eca r

T -naC eh t s I

1 .5.1an

imal

s in

the

grou

p is

req

uire

d."sla

min a fo rebmu

N"?)noitpircsed r o e

m an atad( y go lonimr et e

mas eht e su ma rgo rp eht seo

D2.5.1

spuor g h tiw deific eps ylno tub ,se

Y?noi tcnuf yt ilibaecart e

m as eh t e su ma rgo rp eh t seo

D3 .5.1

rebmun puorg ro ytitnedi puor

G?

margorp eht yb deriuqe r "reifitnedI tnempih

S" ,71 .on tnemele atad ecar

T-naC eht sI

1.6. 1 1.6.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

6.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

1.7.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 2

0, "

Uni

t of

Mea

sure

" re

quire

d by

the

prog

ram

?1.

7.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.7.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.8.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 2

3, "

Ven

dor

/ Sup

plie

r Id

entif

ier"

req

uire

d by

the

prog

ram

?P

rodu

cer

ID n

umbe

r is

req

uire

d fo

r so

me

spec

ies.

Pre

mis

es ID

is r

equi

red

for

all

mov

emen

t rep

ortin

g an

d th

e pr

emis

es r

epos

itory

incl

udes

con

tact

info

rmat

ion

for

the

prem

ises

; not

nec

essa

rily

the

owne

r of

the

anim

als

1.8.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

8.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

Set

2Id

enti

fy t

he

use

of

pro

gra

m d

ata

elem

ents

wh

ich

are

no

t m

and

ato

ry in

Can

-Tra

ce

stne

mm

oC s

noit c

nu

F & y

gol

oni

m reT

N

Y

sesimer p kcots evi l a g nirets iger neh

w der iuqer o fni tcatnoc sesimer

P - tcatnoC

:tnemele atad

m arg or p eht seoD

.1 .2 2.1.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

1.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.1.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

1.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

rebmun ecnayevno

C :tne

mel e ata d mar gorp eht se o

D . 2.2

reifitnedi elciheV .22

? y ran oit ciD ata

D e ca rT -na

C e ht n i ts ixE

1. 2.2 2.2.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

2.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

2.2.

4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

tnemp ihs fo eta

D :tne

mele atad mar gor p eht seo

D . 3.2

etad pihS .41

? y ran oitc iD ata

D e ca rT -na

C e ht ni tsixE

1.3 .2 2.3.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

3.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

2.3.

4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

tpiecer fo etaD

:tnemele atad

m arg orp eht seoD

.4 .2


etad tpieceR .31

? yra noit ciD at a

D eca rT-na

C eht ni t sixE

1 .4.2 2.4.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

4.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

2.4.

4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

nigiro tnempihs fo

DI esimer

P :tne

mele atad margorp eh t seo

D .5. 2

reifitnedi noitacol morf pih

S .51? yran oit ci

D ataD eca r

T-naC e ht ni t six

E1 .5.2 2.

5.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.5.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?DI yrtsiger sesi

merP

AILC

? noit cnu f y tilibaecar t e ca rT -na

C eh t e su ma rgo rp eht seo

D4. 5.2

noitanitseD tne

mpihs fo DI esi

merP

:tneme le at ad

ma rgo rp e ht se oD

.6. 2reif itnedi noit aco l ot pih

S .51? yrano it ci

D ataD eca r

T-naC e ht ni t six

E1 .6.2 2.

6.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.6.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?DI yrtsiger sesi

merP

AILC

?noi tcn uf yt ilibaecart e ca rT -na

C eht e su ma rgo rp eht seo

D4.6.2

tpiecer fo etaD

:tneme le at ad

margorp e ht seoD

.4.2


- 62 -

Can

-Tra

ce In

teg

rati

on

Wo

rkin

g G

rou

p

P

rog

ram

Info

rmat

ion

Co

mp

aris

on

Su

rvey

of

Man

dat

ory

Tra

ceab

ility

Dat

a E

lem

ents

Pro

gra

m N

ame:

Pac

kagi

ng A

ssoc

iatio

n of

Can

ada

HA

CC

P P

roje

ct

Pro

gra

m R

epre

sen

tati

ve:

Rog

er M

iller

Dat

e (d

d-M

on

-yy)

:17

-Nov

-05

Inst

ruct

ion

s: T

he s

urve

y qu

estio

nnai

re c

onsi

sts

of a

des

crip

tion

of th

e pr

ogra

m's

trac

eabi

lity

obje

ctiv

es a

nd tw

o se

ts o

f “y

es /

no”

ques

tions

whi

ch w

ill b

e us

ed to

iden

tify

the

pote

ntia

l gap

s. A

ne

gativ

e re

spon

se w

ill id

entif

y a

gap.

1U

sing

the

mou

se p

oint

er p

ut a

che

ck m

ark

in th

e ap

prop

riate

col

umn

(Y/N

) be

side

eac

h qu

estio

n.

2Q

uest

ion

Set

2 r

equi

res

the

prog

ram

dat

a el

emen

t nam

es to

be

ente

red

in th

e T

erm

inol

ogy

&

Fun

ctio

ns C

omm

ents

fiel

d.

3W

here

dis

crep

enci

es e

xist

bet

wee

n th

e pr

ogra

m a

nd C

an-T

race

term

inol

ogy

& fu

nctio

ns, p

leas

e pr

ovid

e de

tails

in th

e T

erm

inol

ogy

& F

unct

ion

Com

men

ts fi

eld. P

rog

ram

Tra

ceab

ility

Ob

ject

ives

:T

o do

cum

ent t

he r

equi

rem

ents

sho

uld

a pr

oduc

t rec

all b

e ne

eded

. A

dher

ence

to s

tand

ards

and

pro

per

exec

utio

n o f

activ

ities

will

hel

p m

inim

ize

risk

from

pos

sibl

e de

fect

ive

harm

ful p

rodu

cts

that

hav

e en

tere

d th

e sy

stem

. It

will

al

low

trac

ing

and

acco

untin

g fo

r al

l ide

ntifi

ed d

efec

tive

prod

ucts

in a

qui

ck a

nd e

ffici

ent m

anne

r, m

anag

ing

com

mun

icat

ions

in th

e ev

ent o

f a r

ecal

l, an

d as

sist

ing

outs

ide

agen

cies

by

havi

ng a

pre

dete

rmin

ed p

lan

and

info

rmat

ion

gath

erin

g m

echa

nism

s. R

ecal

ls w

ill b

e co

nsis

tent

ly m

anag

ed w

hen

initi

ated

by

the

cust

omer

, su

pplie

r, o

r co

nver

ter.

Set

1Id

enti

fy t

he

use

of

the

Can

-Tra

ce m

anad

ato

ry d

ata

elem

ents

in t

he

pro

gra

mY

N

Ter

min

olo

gy

& F

un

ctio

ns

Co

mm

ents eh t yb dei fit ned i si tne

mp ih s e ht f o r ev ie cer e hT

?margorp eh t yb deriu qer "reifitnedI reyu

B" ,3 .on tnemele atad ecar

T-naC eht sI

1.1.1D

estin

atio

n N

ame

& A

ddre

ss. S

ee 2

.11.

1.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.1.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

etad noitcudorp ro rebmun hctab noitcudorp a eb dluo

C?

ma rgorp eh t yb deri uqer " rebmu

N to L" ,9 .on tnemele at ad ec ar

T-naC eht sI

1 .2 .1co

de1.

2.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.2.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?


"lairetam fo epyt" ro e

man tcudorp cireneg eht ot srefeR

?margorp eht y b deri uqer "n oitp ircse

D tcud orP" ,01 . on tne

mele atad e ca rT-na

C eht sI1. 3.1

whi

ch is

use

d to

des

crib

e th

e m

ater

ial o

n re

ceiv

ing

logs

, e.

g. p

aper

margorp eht ni e

maN laireta

M gnimocnI sa ot derrefe

R? )n oitp ir csed ro e

ma n a tad( ygolon im re t e

ma s eht esu margorp eht seo

D2 .3.1

requ

irem

ents

1.3.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

no desu si hcihw ,noitpi rcsed deliated a tub edoc a to

N?

margorp eht yb deriuqer "re if itne dI tcu do rP" ,11 .on tne

mele atad ecarT-na

C eht sI1.4.1

rece

ivin

g &

shi

ppin

g lo

gs to

indi

cate

spe

cific

iden

tity

crite

ria s

uch

as th

e m

ater

ial,

form

fact

or, w

eigh

t and

di

men

sion

s.

ma rg or p e ht ni em a

N tc udo rP sa ot derrefe

R?)noitpircsed ro e

man atad ( yg olonimr et e

ma s eht e su margorp eht seo

D2.4. 1

requ

irem

ents

1.4.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.5.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

2, "

Qua

ntity

" re

quire

d by

the

prog

ram

?1.

5.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.5.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

gnidal fo llib tnempihs dnuobtuo ro dnuobnI

?ma rgorp eh t y b d eri uqer "re ifi tned I tn e

mp ihS" ,71 .on tn e

me le a ta d eca rT -n a

C eht sI1.6.1 1.

6.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.6.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.7.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 2

0, "

Uni

t of

Mea

sure

" re

quire

d by

the

prog

ram

?1.

7.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.7.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.8.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 2

3, "

Ven

dor

/ Sup

plie

r Id

entif

ier"

req

uire

d by

the

prog

ram

?R

efer

red

to a

s th

e S

uppl

ier

Nam

e on

the

Rec

eivi

ng L

og1.

8.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.8.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

Set

2Id

enti

fy t

he

use

of

pro

gra

m d

ata

elem

ents

wh

ich

are

no

t m

and

ato

ry in

Can

-Tra

ce

Y

NT

erm

ino

log

y &

Fu

nct

ion

s C

om

men

ts

s se rddA

& em a

N no ita nit seD

:t nem ele ata d

marg or p e ht seoD

.1.261 reb

mun tnemele - reifit nedI noitacoL o

T pihS

? yranoi tciD ata

D e carT -na

C eh t ni t sixE

1 .1 .2 2.1.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

1.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

2.1.

4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

noitacifitnedI reirraC

:tnemele atad

margorp eh t s eoD

.2 .2 2.2.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?V

ehic

le Id

entif

ier

- el

emen

t num

ber

222.

2.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.2.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?


- 64 -

2.2.

4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

)N/

Y( noitcepsnI reirraC

:tnemele atad

margorp eht seoD

.3. 2 2.3.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

3.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.3.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?stne

mpihs dnuobtuo & dnuobni htob rof tne

mele ytilauQ

?noi tcn uf yti libaecart ecarT-na

C e ht esu margorp eht s eo

D4.3.2

:tnemele atad

margorp eht seoD

. 4.2D

ate

of S

hipm

ent

2.4.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?S

hip

Dat

e -

elem

ent n

umbe

r 14

2.4.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

4.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

2.4.

4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

tnempih

S fo emi

T :tne

mele atad mar gorp eht seo

D .5.2 2.

5.1

Exi

st in

the

Can

-Tra

ce D

ata

Dic

tiona

ry ?

2.5.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

5.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

2.5.

4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

noitcA evitcerro

C ro noitaiveD

:tnemele atad

margorp eht seoD

.6.2 2.6.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

6.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.6.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

? dnuobn i

& dnuobtuo htob f o n oitidnoc ot detaleR

?noi tcnuf ytilib aec ar t ecarT-na

C eht esu margor p eht seo

D4 .6.2

ship

men

ts

s laitin I s 'r epp ihS

:tn emele atad

margorp eht s eoD

.7.2 2.7.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

7.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.7.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?tne

mpihs fo noitidnoc rof elbisnops er ytraP

?noi tcnuf ytiliba ec ar t ecarT-na


D4 .7.2

erut ar epme

T tcudorP

:tnem el e atad

m argorp eht seoD

.8.2 2.8.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

8.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.8.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?stne

mpihs dnuobni rof tnemele ytilau

Q? noi tc nuf yti libaecar t ec ar

T-naC eht esu

m ar gorp e ht seoD

4. 8.2

:tnemele atad

margorp eht seoD

.9.2)

N/Y ( e ga

m aD e gak ca

P? yr anoitci

D a taD ecar

T-naC eht ni tsix

E1 .9.2 2.

9.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.9.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?stn e

mp ih s dn uobni rof tnem ele yti la u

Q?noitcnuf ytilibaecart ecar

T-naC eht esu

margorp eht seoD

4.9.2


Can

-Tra

ce In

teg

rati

on

Wo

rkin

g G

rou

p

P

rog

ram

Info

rmat

ion

Co

mp

aris

on

Su

rvey

of

Man

dat

ory

Tra

ceab

ility

Dat

a E

lem

ents

Pro

gra

m N

ame:

Can

ada

Org

anic

Initi

ativ

e P

roje

ctP

rog

ram

Rep

rese

nta

tive

:P

addy

Doh

erty

Dat

e (d

d-M

on

-yy)

:25

-Nov

-05

Inst

ruct

ion

s: T

he s

urve

y qu

estio

nnai

re c

onsi

sts

of a

des

crip

tion

of th

e pr

ogra

m's

trac

eabi

lity

obje

ctiv

es a

nd tw

o se

ts o

f “y

es /

no”

ques

tions

whi

ch w

ill b

e us

ed to

iden

tify

the

pote

ntia

l gap

s. A

ne

gativ

e re

spon

se w

ill id

entif

y a

gap.

1U

sing

the

mou

se p

oint

er p

ut a

che

ck m

ark

in th

e ap

prop

riate

col

umn

(Y/N

) be

side

eac

h qu

estio

n.

2Q

uest

ion

Set

2 r

equi

res

the

prog

ram

dat

a el

emen

t nam

es to

be

ente

red

in th

e T

erm

inol

ogy

&

Fun

ctio

ns C

omm

ents

fiel

d.

3W

here

dis

crep

enci

es e

xist

bet

wee

n th

e pr

ogra

m a

nd C

an-T

race

term

inol

ogy

& fu

nctio

ns, p

leas

e pr

ovid

e de

tails

in th

e T

erm

inol

ogy

& F

unct

ion

Com

men

ts fi

eld.

Pro

gra

m T

race

abili

ty O

bje

ctiv

es:

Rec

ords

that

sha

ll m

ake

it po

ssib

le to

trac

e:a.

the

orig

in, n

atur

e an

d qu

antit

ies

of o

rgan

ic p

rodu

cts

that

ha

ve b

een

deliv

ered

to th

e pr

oduc

tion

unit;

b. th

e na

ture

, qua

ntiti

es a

nd c

onsi

gnee

s of

pro

duct

s th

at

have

left

the

prod

uctio

n un

it;c.

any

oth

er in

form

atio

n, s

uch

as th

e or

igin

, nat

ure

and

quan

titie

s of

ingr

edie

nts,

add

itive

s an

d m

anuf

actu

ring

aids

de

liver

ed to

the

unit,

and

the

com

posi

tion

of p

roce

ssed

pr

oduc

ts, f

or th

e pu

rpos

es o

f pro

per

verif

icat

ion

of th

e op

erat

ions

.

Set

1Id

enti

fy t

he

use

of

the

Can

-Tra

ce m

anad

ato

ry d

ata

elem

ents

in t

he

pro

gra

mY

N

Ter

min

olo

gy

& F

un

ctio

ns

Co

mm

ents

?

margo rp eh t yb deriuq er "reifit nedI reyuB" ,3 .on tne

mele atad ecarT-na

C eht sI1.1 .1

el bat pe cc a o sla si em an s' reyu

B?)noitpircs ed ro e

man atad( ygolonimret e

mas eht esu margorp eht seo

D2.1 .1

ses op ru p ti du a r of si n oit ac ifit ned i re yuB

?noitcnu f ytilibaecart emas eht esu

margorp eht seoD

3.1 .1 1.2.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 9

, "Lo

t Num

ber"

req

uire

d by

the

prog

ram

?1.

2.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

noi ta vr eserp ytitn edi r of desU

?noi tcnu f ytilib aecart em as eh t esu

margo rp eh t se oD

3 .2 .1 1.3.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

0, "

Pro

duct

Des

crip

tion"

req

uire

d by

the

prog

ram

?1.

3.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?


- 66 -

1.3.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.4.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

1, "

Pro

duct

Iden

tifie

r" r

equi

red

by th

e pr

ogra

m?

1.4.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

4.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

1.5.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

2, "

Qua

ntity

" re

quire

d by

the

prog

ram

?1.

5.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.5.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.6.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

7, "

Shi

pmen

t Ide

ntifi

er"

requ

ired

by th

e pr

ogra

m?

1.6.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

6.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

1.7.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 2

0, "

Uni

t of

Mea

sure

" re

quire

d by

the

prog

ram

?1.

7.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.7.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.8.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 2

3, "

Ven

dor

/ Sup

plie

r Id

entif

ier"

req

uire

d by

the

prog

ram

?E

very

ope

rato

r is

pro

vide

d w

ith a

uni

que

code

ass

igne

d by

a

cert

ifica

tion

body

.

? )no itp ir csed ro ema n a tad( ygolo ni

m re t ema s eht es u

marg or p eht seoD

2. 8.1 1.8.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

Set

2Id

enti

fy t

he

use

of

pro

gra

m d

ata

elem

ents

wh

ich

are

no

t m

and

ato

ry in

Can

-Tra

ce

Y

NT

erm

ino

log

y &

Fu

nct

ion

s C

om

men

ts

DI rotubir tsiD ro rer aper

P ,recudorP

:tnemele atad

marg or p e ht seoD

.1 .2 2.1.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

1.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.1.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

? .tcudorp eht eldnah ot ytrap elbisnopser tsal eh

T?no it cnu f y tilib aecart ecar

T -naC eh t es u

margo rp eh t seoD

4 .1 .2

ro reraperP ,recudor

P eht rof noitamrofnI tcatno

C :tne

mele atad marg or p e ht seo

D .2 .2

Dis

trib

utor

5 rebmun tne

mel e a tad - noitamrofnI tcat no

C? yra noi tci

D ataD ec ar

T -naC eh t ni ts ix

E1 .2. 2 2.

2.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

?)n oit pircsed ro e

m an ata d( ygolo nimret ecar

T -naC eh t esu

margo rp eh t seoD

3 .2. 2 2.2.

4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

:tn eme le atad

ma rgorp eht seoD

.3.2 ydo

B noitacif itreC

? yra noi tciD ata

D ec arT -na

C eht ni ts ixE

1.3.2 2.3.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?2.

3.3

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?


eht noisivrepus esohw rednu ydob noitacifitrec fo e

maN

? no itcn uf yti l ib aec ar t ec arT- na

C e ht esu ma rg or p e ht s eo

D4. 3. 2

prod

uct w

as p

rodu

ced

or p

repa

red.

eengisnoC

:tnemele atad

margo rp eht seoD

. 4.2 2.4.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

4.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.4.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

4.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

nigirO

:tnemele atad

margo rp eh t se oD

. 5. 2 2.5.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

5.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.5.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

5.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?


- 68 -

Can

-Tra

ce In

teg

rati

on

Wo

rkin

g G

rou

p

P

rog

ram

Info

rmat

ion

Co

mp

aris

on

Su

rvey

of

Man

dat

ory

Tra

ceab

ility

Dat

a E

lem

ents

Pro

gra

m N

ame:

Foo

d S

afet

y E

nhan

cem

ent P

rogr

am (

FS

EP

)P

rog

ram

Rep

rese

nta

tive

:M

r. T

om G

raha

m, N

atio

nal H

AC

CP

/FS

EP

Coo

rdin

ator

Dat

e (d

d-M

on

-yy)

:06

-Mar

-21

Inst

ruct

ion

s: T

he s

urve

y qu

estio

nnai

re c

onsi

sts

of a

des

crip

tion

of th

e pr

ogra

m's

trac

eabi

lity

obje

ctiv

es a

nd tw

o se

ts o

f “y

es /

no”

ques

tions

whi

ch w

ill b

e us

ed to

iden

tify

the

pote

ntia

l gap

s. A

ne

gativ

e re

spon

se w

ill id

entif

y a

gap.

1U

sing

the

mou

se p

oint

er p

ut a

che

ck m

ark

in th

e ap

prop

riate

col

umn

(Y/N

) be

side

eac

h qu

estio

n.

2Q

uest

ion

Set

2 r

equi

res

the

prog

ram

dat

a el

emen

t nam

es to

be

ente

red

in th

e T

erm

inol

ogy

&

Fun

ctio

ns C

omm

ents

fiel

d.

3W

here

dis

crep

enci

es e

xist

bet

wee

n th

e pr

ogra

m a

nd C

an-T

race

term

inol

ogy

& fu

nctio

ns, p

leas

e pr

ovid

e de

tails

in th

e T

erm

inol

ogy

& F

unct

ion

Com

men

ts fi

eld.

Pro

gra

m T

race

abili

ty O

bje

ctiv

es:

Tra

ceab

ility

is a

ddre

ssed

in F

SE

P t

hrou

gh th

e pr

ereq

uisi

te p

rogr

am c

ompo

nent

of a

n es

tabl

ishm

ent's

H

AC

CP

sys

tem

. S

peci

fical

ly, t

he R

ecal

l Pro

gram

det

ails

an

est

ablis

hmen

t's r

ecal

l sys

tem

and

pro

duct

cod

e id

entif

icat

ion/

dist

ribut

ion

info

rmat

ion.

The

obj

ectiv

e of

the

reca

ll pr

ogra

m is

to e

nsur

e es

tabl

ishm

ents

hav

e th

e ne

cess

ary

reca

ll te

am s

truc

ture

in p

lace

and

suf

ficie

nt

info

rmat

ion

and

deta

ils s

o th

at it

can

rec

all 1

00%

of t

he

affe

cted

pro

duct

in a

tim

ely

fash

ion

shou

ld th

e ne

ed a

rise.

A

n an

nual

moc

k re

call

is u

tiliz

ed to

ens

ure

thes

e ob

ject

ives

are

met

.

Set

1Id

enti

fy t

he

use

of

the

Can

-Tra

ce m

anad

ato

ry d

ata

elem

ents

in t

he

pro

gra

mY

N

Ter

min

olo

gy

& F

un

ctio

ns

Co

mm

ents

.de riuqer si tsi l rey ub etad-ot-pu nA

?mar gorp e ht yb deriuq er "r eifit nedI re yu

B" ,3 .on tnem ele a tad ec ar

T- naC eht sI

1 .1 .1 1.1.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

1.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

.deriuqer si dessecorp etad gnidulcni rebmun toL

?mar gorp eht yb deriu qer "reb

muN toL" ,9 .on tne

mele atad e carT- na

C eh t sI1.2.1

emit ro kcap fo etad ,tne

mpiuqe noitcudorp yfi tnedi yaM(

?) noi tpir cse d r o eman a ta d( y golo ni

mret emas eh t esu

marg orp eht seoD

2.2.1pr

oduc

ed)

1.2.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

.tcudorp hcae e bircsed ylluf snalp P

CC

AH eh

T?

margorp eht yb deriuqer "noitpircseD tcudor

P" ,01 .on tnemele atad ecar

T-naC eht sI

1.3.1 edulcni ot noitacifitnedi tcudorp

mret eht sesu P

ES

F?)noitpi rcse d ro e

man at ad( y gol onimret e

mas eht e su marg orp e ht se o

D2 .3 .1

prod

uct d

escr

iptio

n, u

nit o

f mea

sure

, uni

t of t

rade

, pro

duct

id

entif

ier,

wei

ght a

nd p

acka

ging

.


1.3.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.4.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 1

1, "

Pro

duct

Iden

tifie

r" r

equi

red

by th

e pr

ogra

m?

A "

prod

uct c

ode"

iden

tifyi

ng th

e pr

oduc

t is

requ

ired.

1.4.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

4.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

oitcudorp no derutpac si ytitnauq dna thgiew te

N?

margor p eht yb d eriu qer "ytitn auQ" , 21 . on tne

mele a tad ecarT- na

C eht sI1 .5 .1

n sh

eets

an

d sh

ippi

ng d

ocum

enta

tion

whi

ch is

incl

uded

in th

e de

tails

nee

ded

for

the

reca

ll sy

stem

.1.

5.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

yrotnevni ni ytitnauq eht gnitacidni sdrocer seriuqer P

ES

F?noitc nuf ytilibaecart e

mas eht esu marg orp eht seo

D3.5.1

(incl

udes

off

site

sto

rage

) an

d th

e qu

antit

y di

strib

uted

.

tnoc g ni ppih s dna re ifi tnedi tnemp ih

S?

mar gorp eht yb d eriuqer "reifitnedI tnempih

S" , 71 .on tnem ele atad ec ar

T-naC eht sI

1.6.1ai

ner

seria

l num

ber

are

requ

ired.

1.6.

2D

oes

the

prog

ram

use

the

sam

e te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?1.

6.3

Doe

s th

e pr

ogra

m u

se th

e sa

me

trac

eabi

lity

func

tion?

la ni ot derrefer dna desu si thgiew te

N?

m arg orp eht y b deri uqe r "er usaeM f o tin

U" ,0 2 . on t neme le atad ecar

T-n aC eht s I

1. 7. 1l c

ases

. 1.

7.2

Doe

s th

e pr

ogra

m u

se th

e sa

me

term

inol

ogy

(dat

a na

me

or d

escr

iptio

n)?

1.7.

3D

oes

the

prog

ram

use

the

sam

e tr

acea

bilit

y fu

nctio

n?

1.8.

1Is

the

Can

-Tra

ce d

ata

elem

ent n

o. 2

3, "

Ven

dor

/ Sup

plie

r Id

entif

ier"

req

uire

d by

the

prog

ram

?T

he s

hipp

er m

ay n

ot b

e id

ent if

ied

by a

spe

cific

cod

e bu

t by

nam

e an

d ad

dres

s. A

cod

e is

not

a r

equi

rem

ent.

ot ylevisulcxe desu era srebmun noitartsiger larede

F?)n oitpir csed ro e

m an a tad ( yg olon imr et e

m as eht es u m argo rp eht s eo

D2. 8.1

iden

tify

the

prod

uctio

n es

tabl

ishm

ent i

n do

cum

ents

and

on

each

indi

vidu

al p

rodu

ct.

noitcud orp eht naht r ehto ytr ap a eb yam repp ih s eh

T?noitcnuf ytil iba ecart e

mas eh t esu m argorp eht s eo

D3. 8.1

esta

blis

hmen

t.

Set

2Id

enti

fy t

he

use

of

pro

gra

m d

ata

elem

ents

wh

ich

are

no

t m

and

ato

ry in

Can

-Tra

ce

Y

NT

erm

ino

log

y &

Fu

nct

ion

s C

om

men

ts

rebmun noitartsiger tne

mhsilbatsE

:tnemele atad

m argor p eh t s eoD

.1.2 2.1.

1E

xist

in th

e C

an-T

race

Dat

a D

ictio

nary

?2.

1.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

.noitcudorp fo tna lp eht seifitnedI?)n oit pircs ed ro e

ma n at ad( ygol onimr et e car

T- naC eh t esu

marg orp eht seoD

3.1 .2 fi n oitacol

morf pihs eht dna reilppus / rodnev eht seifitnedI? noi tc nu f ytili baeca rt ecar

T- naC eh t esu

marg orp eht seoD

4 .1 .2th

e pl

ant o

f pro

duct

ion

is o

ne li

nk d

own.

rebmun laires reniatnoc gnippih

S :tne

mele atad m argorp eht s eo

D .2 .2

81 re bmu

N tnemel

E? y ran oitci

D ataD ecar

T-naC eh t ni tsix

E1.2.2 2.

2.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

s eht g niy fitn edi sgnik ram e do c y na o t r efer na

C?)noitpircsed ro e

man at ad( ygol onimret ecar

T-naC eht esu

margorp eh t seoD

3.2.2hi

pmen

t.2.

2.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?


- 70 -

)rebmun enohpelet ,sserdda ,e

man( drocer remotsu

C :tne

mele atad m ar gorp eh t se o

D .3.2

61 & 5 sreb

muN tne

melE

? y ran oitciD a ta

D e carT- na

C eht ni tsixE

1.3 .2 2.3.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?noita

mrofnI tcatnoC dna noitacoL ot pih

S eht seifitnedI? )noi tpir csed ro e

man a tad ( yg olonimr et ec ar

T-n aC e ht es u

mar gor p e ht se oD

3.3. 2 2.3.

4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

etaD pih

S :tne


D . 4.2

41 rebmu

N tnemel

E? yr anoitci

D ataD eca r

T-n aC e ht ni t six

E1.4.2 2.

4.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.4.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

4.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

etaD tpiece

R :tne

mele atad mar gorp eh t se o

D .5. 2

31 rebmu

N tnemel

E? yranoitci

D ataD eca r

T -naC eht ni tsix

E1. 5.2 2.

5.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.5.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

5.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

nigirO fo yrtnuo

C :tne

mele atad mar gorp eht se o

D . 6.2

6 rebm u

N tn emel

E? yranoit ci

D at aD ec ar

T-naC e ht ni tsix

E1.6. 2 2.

6.2

Is it

a C

an-T

race

man

dato

ry d

ata

elem

ent ?

2.6.

3D

oes

the

prog

ram

use

the

Can

-Tra

ce te

rmin

olog

y (d

ata

nam

e or

des

crip

tion)

?2.

6.4

Doe

s th

e pr

ogra

m u

se th

e C

an-T

race

trac

eabi

lity

func

tion?

ynapmo

C gnippihS

:tnemele atad

mar gorp eh t se oD

.7 .28 reb

muN tne

melE

? yr anoitciD ata

D ecarT-na

C e ht ni t sixE

1. 7.2 2.7.

2Is

it a

Can

-Tra

ce m

anda

tory

dat

a el

emen

t ?rei fit n ed I re divor

P s cit sigoL?) noitpir csed r o e

man a ta d( ygolo nimret ecar

T-naC eht esu

margorp eht s eoD

3. 7.2 2.7.

4D

oes

the

prog

ram

use

the

Can

-Tra

ce tr

acea

bilit

y fu

nctio

n?

can-trace integration guidelines final report april 2006 · the final version of the survey...

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