2008 rets remp conference charlotte, nc june 23 – 25, 2008 eric darois, chp
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A Comprehensive Computer Application for Managing Sample Planning, Electronic Data Manipulation and Data Validation and Verification in Support of the MARLAP Principles. 2008 RETS REMP Conference Charlotte, NC June 23 – 25, 2008 Eric Darois, CHP Radiation Safety and Control Services, Inc. - PowerPoint PPT PresentationTRANSCRIPT
A Comprehensive Computer Application for Managing Sample Planning, Electronic Data
Manipulation and Data Validation and Verification in Support of the MARLAP Principles
2008 RETS REMP ConferenceCharlotte, NCJune 23 – 25, 2008
Eric Darois, CHP
Radiation Safety and Control Services, Inc.Stratham, NH 03885www.radsafety.com
The Problem
• Your project starts off slow and grows exponentially
• Sample results are flying in
• Data kept in 5 different spreadsheets by 5 different people
• Everybody is hand typing in results
• The Chaos Grows…
Where’s my Data ?!@#$
I think it’s here
somewhere…
• MARLAP Iterative Data Life Cycle
• Integration Impacts Cost and Success
MARLAP Principles
• Directed Planning– Analytical Protocol Specifications (APS)
• Data Quality Objectives, DQOs– Measurement Quality Objectives, MQOs
• Implementation– Sampling & Analysis
• Data Quality Assessment, DQA– Verification– Validation
Analytical Protocol Specifications, APS• Developed for each
analysis type as a “short” document
• Contents of Document– Required Analytes– Applicable Matrix (water,
soil, vegetation, etc)– QC Frequency– COC Requirements– Applicable MQOs
• Allows for effective V&V and DQAs
Measurement Quality Objectives, MQOs
• Considered the analytical portion of the DQOs– Project Specific (i.e. REMP may be different than GW
Investigations)
• Examples– Required Uncertainty at a defined Action level (i.e. at 200 pCi/L,
1 sigma uncertainty must be <20%)– MDA at Background– Detectability in the presence of interfering nuclides– Range of measurement– Report All Results (+ or -) with Uncertainty
• May be Quantitative and Qualitative Statements
MARLAP Roadmap
MARLAP Implementation
May Be Challenging To Implement For Large Continuous Projects
RSCS
Analytical Data Management System
Designed to Manage MARLAP Principles
Software/Database Environment• SQL Database• Coded in Visual Basic .net 2.0 framework• User-Friendly Screens• Adaptable to any sampling and analysis
regimen RETS, REMP, NPDES, Chemistry, CERCLA, FSS, etc.
• Manages data from multiple sites and multiple projects
• Reports generated by Crystal Reports• Hierarchy of user access privileges
protection on a site level• Tracks all changes made to old and new
data• Stand-alone or fully networked computer
installation• Automatic updates
ADMS and MARLAP• Specify Quantitative DQOs and MQOs
– Analytes/Labs/MDAs/DL -APS– Action Levels and Notifications – Alpha and beta error rates by project– Multiple Labs with different capabilities
• Directed Sample Planning– Project Specific or Recurrent
Scheduling (date or frequency weekly, monthly, quarterly, etc.)
– Assigns Unique Sample ID– Collection Information (Who, What,
When, Where) by Media Class– Chain of Custody Records (Fully
Electronic)– Store ANY file into DB (pdf, html, doc,
etc)
ADMS and MARLAP
• Data Quality Assessment, DQA– EDD Import (any CSV format!)
• No more data input, No more typos
– Data Verification on Import• Missing Analytes & Samples
– Data Validation Reports• Sample Schedule Adherence• Analyte Trend Reports• RMU Reports
– Individual & Group
• Statistical Reports
ADMS Standard Reports• Admin Reports
– Action Level and Discrimination – Analysis Codes Summary Report– Lab Summary Report– Location Summary Report
• Sample Reports– Sample Results– Chain of Custody– Assigned Sample Plan– Generate Barcodes Report– Histogram Report– Sample Plan (Uncollected Samples)
Missed Frequency Report– Sample Status Report– Trend Report– Regression Analysis Report
Histogram Reports
6 Bins
21 Bins, Same Data
Sample ID: Type: Reason: Assigned Collector: Creation Date:
* B G M - 0 0 5 *
BGM-005 Meat (MT) Additional
1/17/2008 3:49:26PM Scheduled Date: 03/12/2008
Sample ID: Type: Reason: Assigned Collector: Creation Date:
* B S M - 0 0 5 *
BSM-005 Meat (MT) Additional
1/17/2008 3:49:26PM Scheduled Date: 03/12/2008
Sample ID: Type: Reason: Assigned Collector: Creation Date:
* J D M - 0 0 5 *
JDM-005 Meat (MT) Additional
1/17/2008 3:56:16PM Scheduled Date: 03/12/2008
Sample ID: Type: Reason: Assigned Collector: Creation Date:
* A V A - 0 0 3 *
AVA-003 Sediment Beach Sand (SD Beach) REMP Supplemental
1/17/2008 4:35:02PM Scheduled Date: 03/31/2008
Sample ID: Type: Reason: Assigned Collector: Creation Date:
* A V A - 0 0 4 *
AVA-004 Sediment Beach Sand (SD Beach) REMP Supplemental
1/17/2008 4:35:03PM Scheduled Date: 09/30/2008
Sample ID: Type: Reason: Assigned Collector: Creation Date:
* C B A - 0 0 4 *
CBA-004 Sediment Beach Sand (SD Beach) REMP Supplemental
1/17/2008 4:35:03PM Scheduled Date: 03/31/2008
Sample ID: Type: Reason: Assigned Collector: Creation Date:
* C B A - 0 0 5 *
CBA-005 Sediment Beach Sand (SD Beach) REMP Supplemental
1/17/2008 4:35:03PM Scheduled Date: 09/30/2008
Sample ID: Type: Reason: Assigned Collector: Creation Date:
* C Y A - 0 0 3 *
CYA-003 Sediment Beach Sand (SD Beach) REMP Supplemental
1/17/2008 4:35:03PM Scheduled Date: 03/31/2008
ADMS Barcode Report
ADMS Key Additional Features
• GPS Coordinates Optional – Each Sample Location
• >800 Nuclides and Chemicals Pre-Loaded
• Unit Conversions – Import and Unit and Convert to Desired Base
• Duplicate Results Utility• Unlimited Action Level Types by Media• Fully Supports Sample Barcode Labels• Custom Import Format• Outputs suitable for export into reports
or Spreadsheets
Future Changes
• Develop Separate Software for Field Collection– Current Version allows
for Planned Samples to be “Assigned” for Collection
– “Paperless” Environment
Life with ADMS