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Modernising Official Statistics

Modernising Official Statistics. Lieneke Hoeksma. Introducing the HLG High-level Group for the Modernisation of Official Statistics Created by the Conference of European Statisticians in 2010 11 Chief Statisticians Vision and strategy endorsed by CES in 2011 / 2012. The challenges.

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Modernising Official Statistics

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  1. ModernisingOfficial Statistics Lieneke Hoeksma

  2. Introducing the HLG • High-level Group for the Modernisation of Official Statistics • Created by the Conference of European Statisticians in 2010 • 11 Chief Statisticians • Vision and strategy endorsed by CES in 2011 / 2012

  3. The challenges

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

  5. HLG Expert groups Projects

  6. The story so far GSBPM CSPA

  7. What is the GSBPM? • A flexible model that describes and defines the set of business processes needed to produce official statistics • Standard framework and harmonised terminology to help statistical organisations • Modernise statistical production processes • Share methods and components

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

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

  10. What is the CSPA? • A template architecture for official statistics • A set of standard specifications for new statistical components(services) that can beused in a modular way • A new way of developing statistical tools, with sharability as a design feature, not an afterthought

  11. Services built • Seasonal adjustment – France,Australia, New Zealand • Confidentiality on the fly – Canada, Australia • SVG generator – OECD • SDMX transform – OECD • Sample selection – Netherlands • Linear error localisation – Netherlands • Linear rule checking – Netherlands • Error correction – Italy

  12. CSPA the Future of Statistical Production

  13. If statistical organisations create components based on a common statistical production architecture ...

  14. ... sharing is easier!

  15. Impact • GSBPM • De-facto global standard • Implemented in over 50 statistical organisations • GSIM • Many new implementations • Incorporated Neuchâtel Classification Model • CSPA • Growing number of CSPA services • Recognised in ESS Vision 2020

  16. Impact • GSBPM • De-facto global standard • Implemented in over 50 statistical organisations • GSIM • Many new implementations • Incorporated Neuchâtel Classification Model • CSPA • Growing number of CSPA services • Recognised in ESS Vision 2020 Common languagefor collaboration

  17. Managing GSBPM and GSIM • Owner = High-Level Group • Maintenance is delegated to the Modernisation Committee on Standards • Discussion forums to gather feedback • Importance of stability over time • Reviews every 5 years • Revisions only if really needed

  18. HLG Activities – Engagement Map

  19. More Information • HLG Wiki: www1.unece.org/stat/platform/display/hlgbas • LinkedIn group: “Modernising official statistics” • Steven Vale: steven.vale@unece.org

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