1. United Nations Economic Commission for Europe Statistical Division High-Level Group Achievements and Plans Steven Vale UNECE steven.vale@unece.org

2. Introducing the HLG  High-level Group for the Modernisation of Statistical Production and Services  Created by the Conference of European Statisticians in 2010  Vision and strategy endorsed by CES in 2011/2012

3. Who are the HLG members?  Pádraig Dalton (Ireland) - Chairman  Trevor Sutton (Australia)  Wayne Smith (Canada)  Giorgio Alleva (Italy)  Bert Kroese (Netherlands)  Liz MacPherson (New Zealand)  Park, Hyungsoo (Republic of Korea)  Genovefa Ružić (Slovenia)  Walter Radermacher (Eurostat)  Martine Durand (OECD)  Lidia Bratanova (UNECE)

4. What does the HLG do?  Oversees activities that support modernisation of statistical organisations  Stimulates development of global standards and international collaboration activities  “Within the official statistics community... take a leadership and coordination role”

5. The Challenges

6. These challenges are too big for statistical organisations to tackle on their own We need to work together

7. HLG Expert Groups Projects

8. The story so far CSPA

9. New in 2014

10. Big Data

11. What does Big Data mean for official statistics? Priorities:  Partnerships – Guidelines  Privacy – Guidelines  Quality – Guidelines  Skills – Survey Skills profile  IT / methodological issues - Sandbox

13. Implementation of the CSPA

14. Services built 1. Seasonal adjustment – France, Australia, New Zealand 2. Confidentiality on the fly – Canada, Australia 3. SVG generator – OECD 4. SDMX transform – OECD 5. Sample selection – Netherlands 6. Linear error localisation – Netherlands 7. Linear rule checking – Netherlands 8. Error correction – Italy

15. Architecture Working Group Catalogue team **Just released** http://www1.unece.org/stat/platform/display /CSPA/CSPA+Global+Artefacts+Catalogue

17. Big Data  More sandbox experiments  More data Wikipedia UNSD Comtrade  Future of the sandbox approach?  Challenge from the High-Level Group: Produce and release a set of internationally comparable statistics from one or more Big Data sources

18. CSPA Implementation  See presentations by Thérèse on Thursday!

19. Get involved! Anyone is welcome to contribute! Contact: support.stat@unece.orgsupport.stat@unece.org More Information  HLG Wiki: www1.unece.org/stat/platform/display/hlgbas  LinkedIn group: “Modernising official statistics”

20. Workshop on International Collaboration for Standards-based Modernization Progress on priorities from 2013 to 2015 May 5-7, 2015

21. From METIS to MC on Standards 2013 Work Session on Statistical metadata – Metadata standards and models (part B of CMF, DDI, SDMX, early GSIM) – Metadata in statistical business process (metadata flows, GSIM and GSBPM) – Case studies and tools (NSO implementations) Recommendations for future work – Integration of Neuchâtel into GSIM – Update of Part B CMF, inventory of standards – Official statistics profile for DDI – Use of BPMN/BPEL for GSBPM – Further work on GSIM – GSBPM relationships – Development of process/technical metadata standards – Linked Open Data related to GSBPM, etc.

22. New governance structure introduced at 2013 Work Session – birth of MC on Standards under HLG for modernization of statistics

23. Terms of Reference for Modernization Committee on Standards Develop, enhance, integrate, promote, support and facilitate implementation of the range of standards needed for statistical modernisation Maintain an information resource about standards needed to support statistical modernisation Operational responsibility for the maintenance and development of GSBPM, GSIM and GAMSO Follow developments in geospatial standards, semantic web and others

24. 2013 HLG project for MC Standards GSBPM 5.0 (Dec 2013) GSIM 1.0 (Dec 2013) GSIM Statistical Classification Model (Dec 2013) Mapping between GSIM and GSBPM Mapping GSIM to DDI and SDMX UNECE virtual helpdesk for Standards

25. 1. Establish the need GSIM 1.1 (2013) GSBPM 5.0 (2013) CMF A 2009 CMF B 2011, 2013 CMF C CMF D GSBPM+ DDI Profiles 2013 2. Develop Model - Based DDI DDI 3.2 SDMX 2.1 3. Adopt 4. Disseminate / Implement 5. Maintain / Review DDI 2.5 SDMX COG Core frameworks & standards overseen by MC Standards Other artefacts overseen by MC Standards Standards of relevance to modernisation, not overseen by MC Standards but of interest MAP of STANDARDS GAMSO 0.2 SDMX Glossary UNECE Metadata Vocabulary GAMSO 1.0 (2015) Quality Indicators - GSBPM Quality Indicators Big Data/Admin data

26. Priority topics for2014-2015 Governance, maintenance, support and integration of key standards Generic Activity Model for Statistical Organizations (GAMSO) Quality indicators for GSBPM Implementation standards to support GSIM and CSPA 2015 MC Standards meeting

27. TOPIC I Maintaining and governing statistical standards – Role of standards, co-ordination across metadata standards groups, ensuring implementation across statistical organizations; refresh of the Common Metadata Framework TOPIC II Increasing the efficiency of statistical business processes through the use of standards – GSIM implementation use cases, DDI profiles, Help Desks TOPIC III Standards to describe or exchange data and metadata – DDI, SDMX, other formats, semantic web TOPIC IV Future of statistical standards – Gaps – Meeting future needs of statistical systems

28. 2015/16 Priorities for MC Standards We need your Input!