statistics estonia on its way to improving efficiency un ece seminar on new frontiers for...

Statistics Estonia on its way to improving efficiencyUN ECE Seminar on

New Frontiers for Statistical Data Collection

Geneva, 31.10‒02.11.2012

Tuulikki Sillajõe

Outline

Organization of the data collection Production system as a whole Conclusions and future plans

02.11.2012 Seminar on New Frontiers for Statistical Data Collection

Data EntryService

Central Data Collection Department since 2004

Seminar on New Frontiers for Statistical Data Collection02.11.2012

Data CollectionDevelopmentManager

Data CollectionService

FieldworkOrganisationService

Data CollectionDepartmentManager

Collection of administrative data (I)

Data Collection Department is not responsible for collection of administrative data

Data Processing Systems Department is responsible for a single entry point for

administrative data runs pre-agreed data processing makes the data available for statistical domains


Collection of administrative data (II)

Methodology Department consolidates the needs of statistical domains conducts negotiations with the holders of

administrative registers organises the conclusion of agreements with

these holders is in charge of the description of data in a

central metadata system Statistics Estonia used about 100 different

administrative registers (2012)


Functionalities of ADAM (data collecting system for administrative data)

Automatic extraction of detailed personalized data from administrative sources using

X-road (data exchange layer) ftp, etc.

Storing data in raw data databases Data processing

coding duplicate removal

Making data available for in-house applications


Milestones of Data Collection in Statistics Estonia, 2000‒2012

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

HOUSEHOLDS

ENTERPRISES

ABOLISHMENT OF REGIONALBUREAUS

CENTRAL DEPARTMENT

CAPI

WEB-BASED COLLECTION (eSTAT)

CALL CENTER FOR ENTERPRISES

FAILURE WITH 1st CAWI

1st MIXED MODE CAPI+ CATI

TERMINATION OF SENDING Q.-S

PILOT PHC 2011 CAWI+CAPI

AGRI-CENSUS CAWI+CAPI

PRE-FILLING WITH ADMIN-DATA

PHC 2011 PAPER-LESS

OTHER CAWI PILOTS


Functionality of eSTAT for external users (I) to view the list of statistical questionnaires, which a

particular economic entity has to present to Statistics Estonia during the current year

to view deadlines for presenting these statistical questionnaires

to order reminders, which notify by e-mail about upcoming deadlines

to compile statistical questionnaires, i.e. to fulfil cells on the web with data or download and upload CSV-files

to run controls, i.e. check whether they have compiled the statistical questionnaires required


Functionality of eSTAT for external users (II) to correct statistical questionnaires immediately upon

compilation thereof to submit statistical questionnaires to look at all earlier statistical questionnaires

submitted to Statistics Estonia via eSTAT by a respondent concerned

to print out a paper copy of a compiled statistical questionnaire

to administer users, i.e. to create, change and cancel rights and access

to accept or correct one’s contact information02.11.2012 Seminar on New Frontiers for Statistical Data Collection

Functionality of eSTAT for internal users (I) to define statistical questionnaires in the system, i.e.

to describe and add them to define controls for statistical questionnaires

described in the system to follow the inflow of statistical questionnaires and

send reminders to register contacts with respondents to see the time and the content of contacts with

respondents to see the same information as external user and

help them online02.11.2012 Seminar on New Frontiers for Statistical Data Collection

Functionality of eSTAT for internal users (II) to see and correct contact information of economic

entity who can deliver questionnaires via the system to compile statistical questionnaires (e.g. when

receiving them by phone) to view and correct statistical questionnaires

compiled by respondents to administer external main users and internal users to create empty statistical questionnaires in pdf-

format for printing out or saving them as a file for different administrative purposes


Questionnaires received from economic entities by channel, 2008–2012


Pre-filling of questionnaires (I)

Annual statistical questionnaires for the year 2012, i.e. for the reference year 2011 data collection, are prefilled using administrative data

structural business statistics (EKOMAR) agriculture, forestry and fishing financial intermediation and activities auxiliary

to financial services and insurance activities non-profit institutions

Data providers have to fill in only the gaps, i.e. information not available from annual bookkeeping report


Pre-filling of questionnaires (II)

The information from annual reports is preloaded to eSTAT every hour

First results 52% of the questionnaires for structural business

statistics had been pre-filled from annual reports 80% of the fields were pre-filled, and respondents

had to fill in the remaining 20% (only fields filled in with a number other than zero are taken into account)

Average compiling time of a statistical questionnaire has been reduced twice (from 3 hours to 1,5 hour) compared to previous year


Mixed mode was used for PHC 2011

Modes of questioning e-Census on the web (CAWI) → 66% Interview (CAPI)

Institutions filled in a special questionnaire Different data sources

Population and Housing Census 2000 Administrative registers Data collection from persons

New software was developed next to eSTAT


Seminar on New Frontiers for Statistical Data Collection

New software for data collection (VVIS)

Supports data collection process for various surveys and census, dividing it into three sub-processes

Preparation work for data collection Data collection on the web (CAWI) and

fieldwork (CAPI) Support and management of the whole process

02.11.2012


Applications of VVIS

Questionnaire definition application Interviewers’ (enumerators’) application Public web application Management application Interfaces with external systems

02.11.2012


Questionnaire definition application

A tool for preparing questionnaires Built on top of Eclipse Functionality

Every survey can use a different, custom data model Several questionnaires can be built on top of data

model (e.g. different questionnaires for CAWI and CAPI)

Advanced navigation and validation rules within questionnaires

Use of common classifications in different surveys (e.g. occupations: ISCO, education: ISCED, etc.)

Data model and questionnaires saved in open XML format

Multi-language support for questionnaires

02.11.2012


Interviewers’ application

Stand-alone desktop application can be used in laptop or desktop computer (Delphi)

Synchronises all data for offline work over encrypted channel (HTTPS) Functionality

Advanced validation and navigation rules within questionnaire Navigation between different questionnaires Questionnaires in multiple languages Planning / scheduling of work Reminders Communication with direct supervisor Map info for location of subjects, GPS positioning, work

planning Overview of general fieldwork progress for interviewers Help information for interviewers Automatic software updates (distributed from central server)

02.11.2012


Public web application

Used by survey subjects independently Public system, accessible over the web (Java,

Weblogic) Functionality:

Authentication with ID card or through bank link Choice between questionnaires assigned to the

subject Support for all rules used in questionnaires, the

same questionnaires can be used that are defined for interviewers’ application

Background information and help texts about the surveys and questionnaires

02.11.2012


Management application

Used by fieldwork management, statisticians, help desk Internal web application (Java, Weblogic), accessible from within

internal network Functionality:

Authentication using LDAP or any other authentication method Creation of survey object, configuration of methodology,

fieldwork hierarchy and other characteristics of survey Role management Possibility to work simultaneously with several surveys Overview of fieldwork progress, task management Definition of milestones (deadlines) for fieldwork organisation Help desk functionality Data processing tools (e.g. for classification of data) Communication (messages from one user to another)

02.11.2012


Interfaces with external systems

Information database Meta-info about surveys Background survey information (displayed on the web) Classifications used in questionnaires

Authentication system (e.g. Active Directory) Statistical register

Import of sample Pre-filling of questionnaires Export of sample (changes in subjects’ information)

GIS database Maps Location info of buildings Hierarchy of district division

02.11.2012

Generic StatisticalBusiness Process Model


Architecture of the information system


Dissemination

Statistical registers

Metadata system

Data collection ProcessingStatistical analysis

Persons

Administrative registers

Users

Economic entities

Data Warehouse

iMETA

VVISADAM eGeostat

SRS

VAISeSTAT

PX-Web

Census-HUB

KUNDE

Analyse


2002Statistical

Farm Register

1993

1993

1994Statistical Business Register

1994economic entities

2004persons

2004

2004economic

entities

2006economic entities

2001metadata

management

2011iMeta

project started 2011 system for

statistical registers

project started2011

project started2011 persons

planned

Generic Statistical Business Process Model

project started

2012

02.11.2012

Sources for efficiency gains of Statistics Estonia Central data collection department, i.e.

standardisation of processes Generic office-wide software Administrative data instead of survey data if

applicable Pre-filling of statistical questionnaires with

administrative data


Small developments, big efforts

Reminders sent before the deadline instead of after the deadline

Informing economic entities simultaneously about all the questionnaires they have to fill in next year

Centralisation of the preparation of questionnaires from statistical departments to IT Department and within a few years to Methodology Department

Standardisation and simplification of instructions about questionnaires for economic entities

Creation of a list of input variables


Next practical steps

Introduction of CAWI as the main data collection method for surveys on individuals (2013)

Introduction of CATI for data collection from both types of respondents: economic entities and individuals (step by step, starting from 2012)

Implementation of generic office-wide software for other functions than data collection

Reuse of data within the statistical office


Strategic directions

Training of data suppliers (economic entities, individuals, registers, etc.), incl. about their personal and public gains

Closer cooperation between the data collection function and dissemination function within the organisation, for better communication with data suppliers (based on the experience of PHC 2011)

Simplification of statistical reports (harmonisation of concepts, deadlines, practices, etc.)

Development of infrastructure for selling data collection services


Further challenges

Wider use of administrative and commercial data Do we need two data collection tools? Centralization of data processing function?


Thank you for your [email protected]


statistics estonia on its way to improving efficiency un ece seminar on new frontiers for...

Documents

statistical data collection02

data available

description of data

statistical domains02

needs of statistical

xroad data exchange

administrative sources

paperlessother cawi