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What’s New from the High-Level Group?

What’s New from the High-Level Group?. Steven Vale UNECE steven.vale@unece.org. HLG Background. High-Level Group for the Modernisation of Statistical Production and Services Created by the Conference of European Statisticians in 2010

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What’s New from the High-Level Group?

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  1. What’s New from theHigh-Level Group? Steven Vale UNECE steven.vale@unece.org

  2. HLG Background • High-Level Group for the Modernisation of Statistical Production and Services • Created by the Conference of European Statisticians in 2010 • 10 heads of national and international statistical organisations

  3. The Challenges Riding the big data wave Increasing cost & difficulty of acquiring data New competitors & changing expectations Competition for skilled resources Rapid changes in the environment Reducing budget

  4. These challenges are too big for statistical organisations to tackle on their ownWe need to work together

  5. A strategy for modernisation • Transform vision to reality • New sources and products • Streamlined processes • Managing organisational change to support modernisation and collaboration

  6. A strategy for modernisation • Transform vision to reality • New products • Rationalised processes • “Plug and play” architecture – based on the GSBPM and GSIM • Managing organisational change to support modernisation and collaboration Conference of European Statisticians, June 2012 Endorsed

  7. Information objects • Things that flow between GSBPM sub-processes • Things that drive and integrate sub-processes

  8. GSIM and GSBPM • GSIM describes the information objects and flows within the statistical business process.

  9. So what is GSIM? • A reference framework of information objects: • Definitions • Attributes • Relationships • GSIM aligns with relevant standards such as DDI and SDMX GSIM gives us standard terminology

  10. What next? 2 big projects for 2013

  11. 1: Standards • Implementing GSIM • Help, support, training • Knowledge base • Platform for sharing experiences • Reviewing / revising GSBPM and GSIM • Integrating standards • Map GSIM to SDMX and DDI • Geospatial standards • Fundamental Principles of Official Statistics

  12. 2: Common Statistical Production Architecture Generalized Statistical Production System GSBPM GSIM Common Generic Industrial Statistics Methods Technology Implementing standards-based statistical production

  13. “Plug and Play”

  14. CSPA: Progress and Plans • Project proposal – Approved by HLG • Common architecture • Proof of concept • “Sprint” Sessions: • Ottawa, 8-12 April • Rome, 10-14 June • Virtual groups / More sprints? / Workshops? • All deliverables by end of 2013

  15. Big Data • HLG released a paper “What does Big data mean for official statistics?” • www1.unece.org/stat/platform/x/toeZB • Many Big data initiatives • Coordinating role for HLG?

  16. Do you want to get involved? • Sprints • Virtual Task Teams • Reviews Let us know support.stat@unece.org

  17. HLG governance issues • The work is growing • Expectations are rising • More efficient structure needed • Re-organisationof UNECE expert groups • Clearer focus on modernisation

  18. More information • GSIM • http://www1.unece.org/stat/platform/display/metis/Generic+Statistical+Information+Model+(GSIM) • HLG • http://www1.unece.org/stat/platform/display/hlgbas

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