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Metadata management and statistical business process at Statistics Estonia. Work Session on Statistical Metadata (Geneva, Switzerland 8-10 May 2013) Kaja Sõstra , Eda Froš. Outline. Overview of integrated metadata management system Statistical information system and business process model

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metadata management and statistical business process at statistics estonia

Metadata management and statistical business process at Statistics Estonia

Work Session on Statistical Metadata

(Geneva, Switzerland 8-10 May 2013)

Kaja Sõstra, Eda Froš

outline
Outline
  • Overview of integrated metadata management system
  • Statistical information system and business process model
  • Current metadata projects
  • Future plans
  • Conclusions
integrated metadata management system imeta
Integrated metadata management system iMETA
  • Outsourced project August 2010 – July 2011
  • Integration of iMETA with other subsystems of our statistical information system (SIS)
  • Metadata driven SIS
  • Bilingual application; metadata will be stored in Estonian and in English
purpose s of the new metadata management system
Purposes of thenew metadata management system
  • To support the whole statistical business process;
  • To enable the storage of metadata once for all usages;
  • To act as an instrument for harmonising and standardising metadata;
  • To act as a central repository for all subsystems and for various outputs regardless of purpose, media, format and time.
source documents
Source documents
  • Neuchâtel Terminology Model – classification database object types and their attributes

http://www3.ssb.no/stabas/DOCS/Neuchatelversion2.1.pdf

  • Neuchâtel Termonology Model – variables and related conceptshttp://www.ssb.no/english/metadata/metadatadocuments/varneuchatelnodel.pdf
  • MMX Metadata Framework – implementation of MOF (built on relational database) technologyhttp://www.mmxframework.org/
content of imeta
Content of iMETA
  • Metadata navigator
  • Statistical activities
  • Classifications
  • Concepts
  • Statistical units types and statistical characteristics
  • Measurement units
  • Information about questionnaires
  • Legal acts
  • Databases
metadata navigator
Metadata navigator
  • Metadata repository contains metadata managed by iMETA application and also metadata managed by other applications.
  • Metadata navigator gives an overview of all metadata stored in metadata repository(terminology objects, SQL objects, etc.)
classifications
Classifications
  • Classification – kind of umbrella that comprises one or several classification versions
  • Classification version – structured list of mutually exclusive categories
  • Classification variant – the original categories of classification version are split or regrouped to provide context-specific additions to the standard structure
  • Correspondence tables
statistical activities i
Statistical activities (I)
  • Statistical activity–the collection, storage, transformation and distribution of statistical information
  • In Statistics Estonia the concept of statistical activity includes not only the conducted statistical surveys, but also management of statistical registers, compilation of yearbooks and analytical publications as well as other works related to the production of statistics
  • Every year a new version (instance) of statistical activity is being described
statistical activities ii
Statistical activities (II)
  • The description of statistical activity is based on ESMS concepts, supplemented by special attributes needed for Statistics Estonia.
  • All attributes are grouped as:
    • General information
    • Methodology
    • Quality
    • Dissemination
    • VVIS (electronic data collection system)
    • E-respondent
  • New attributes and groups can be added
statistical activities iii
Statistical activities (III)

Description of statistical activities enables

  • To present descriptions of surveys according to Euro-SDMX structure (ESMS) on the web
  • To create a document of Statistical Programme for 5 years;
  • To present list of conducted statistical activities with short descriptionby years on the web
  • To create XML file according to Euro-SDMX MSD
architecture of the information system
Architecture of the information system

Metadata system

iMETA

Economic entities

KUNDE

Users

Persons

eSTAT

Data collection

Statistical analysis

Dissemination

Processing

PX-Web

VAIS

Analyse

VVIS

Census-HUB

eGeostat

ADAM

Administrative registers

Statistical registers

Data

Warehouse

SRS

components of information system
Components of information system
  • iMETA – integrated metadata system (2011)
  • SRS – system of statistical registers (2012)
  • Kunde – customer relationship management system (2006)
  • eSTAT – data collection system for economic entities (2006)
  • VVIS – data collection system for persons (2011)
  • ADAM – data collection system for administrative data (2011)
  • VAIS – template based data processing system (2012)
  • Analyse – system for statistical analyses (2013)
  • PX-Web – output database (2001) will be replaced by .Stat (2014)
  • Census Hub – dissemination tool for European statistics (2013-2014)
current metadata projects
Current metadata projects
  • Implementation of ESS metadata standards on describing statistical activities and disseminating data
    • Describing reference metadata (in the metadata system) for all statistical activitiesaccordingto ESMS.
    • Modernisation of reference metadata describing and update processes
    • Preparationfor dissemination of reference metadata on the website
  • Technical development of iMeta
future plans
Future plans
  • Dissemination of ESMS based reference metadata on the web is planned on the 1st of July this year
  • Release of concepts and definitions on the web of Statistics Estonia. Replacement of current HTML version of concepts and methodology in output database
  • Further development of iMeta in line with developments of other components of statistical information system
conclusions
Conclusions
  • Several parallel developments course problems of specification common requirements for all systems. Unfortunately, all new developments bring along some changes in the metadata system
  • Responsible unit and persons should be appointed for management of metadata
  • Creation of new metadata, filling in the gaps and harmonisation is very labour-intensive. Support from management and other people in the office is essential for success.
  • Special guidelines and rules should be created. All potential internal users of metadata system should be informed about the development process and involved in it.
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