Recent development in the metadata area at Statistics Sweden

1. Recent development in the metadata area at Statistics Sweden Klas Blomqvist klas.blomqvist@scb.se

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4. New organisation Process orientated organization • Customer focus • Increase efficiency • Standardization • Harmonization • Quality control – overall quality

5. New organisation Process department • Process managers • Centralized IT and Methodology • Classifications, Metadata and content harmonization • Implement standard tools and methods Responsibility for Metadata • Process dept, short run • R&D department, architects, long run Prioritized development areas • ISO 20252 • Data collection • Editing

6. Statisticsproduction process Evaluate and feed back 8 Specify needs 1 Design and plan 2 Build and test 3 Collect 4 Process 5 Analyse 6 Disseminate and communicate 7 Support and infrastructure 9

7. Statistical production process Specify needs 1 Design and plan 2 Build and test 3 Collect 4 Process 5 Analyse 6 Disseminate and communicate 7 Design end product 2.1 Build collection instrument 3.1 Generate frame and register population 4.1 Classify and code microdata 5.1 Produce statistics 6.1 Prepare dissemination 7.1 Identify information needs and availability 1.1 Identify customers 1.2 Design frame, register population and sample 2.2 Build and adapt tools 3.2 Select sample 4.2 Edit microdata 5.2 Edit macrodata 6.2 Compile end product 7.2 Establish customer contact 1.3 Design data collection 2.3 Build workflow 3.3 Set up data collection 4.3 Impute for nonresponse 5.3 Carry out disclosure control 6.3 Disseminate end product to customer 7.3 Confirm information needs 1.4 Design processing 2.4 Test collection instrument 3.4 Complement microdata 5.4 Run data collection 4.4 Finalise observation register 6.4 Communicate end product 7.4 Negotiate and contract 1.5 Design analysis 2.5 Test tools and workflow 3.5 Transfer and store data electronically 4.5 Calculate weights 5.5 Interpret and explain 6.5 Dispose and preserve 7.5 Design dissemination and communication 2.6 Conduct pilot study 3.6 Finalise outputs for dissemination 6.6 Design workflow 2.7 Initiate workflow 3.7 Plan production cycle 2.8

8. Metadata vision, not official Evaluate and feed back 8 Specify needs 1 Design and plan 2 Build and test 3 Collect 4 Process 5 Analyse 6 Disseminate and communicate 7 MICRO MACRO Source Raw data Structur-ered In data Store Aggre-gated data store Cube (output table) Support and infrastructure 9 Metadata repository SCBDOK, BaS, MetaPlus, SSD-metadata, BaM, Thessaurus, Publication database, ESMS, Question data base… Product Data Base

9. Ongoing • KMI, classifications, metadata and content harmonization • Support organization for documentation and classification work • Managing the metadata systems • New arcitecture, metadata has a central role

10. Near future plans • Business Operating Support System - BOSS • Stage 1, Describing standard tools and method for the production process – October 2008 • Stage 2, Possibility to describe the product's production, connection to existing metadata tools - June 2009 • Stage 3, SOA connection, workflow support, supply production documentation – early 2010 (goal) • When using BOSS required documentation will be extracted from the system after finalizing the production

11. Near future plans • Tie metadata to the Business Operating Support System • Web presentation with links between metadata on micro and macro levels • Expanded features to the classification database

12. Sharing • Statistics Sweden are more than happy to share with other organisations • MetaPlus • Variable concepts • Variables • Classifications and code lists • Population and statistical units • For use in all steps of the production process • The model is availiable in english • Crude translation of the application is availiable in english • Production process model