Post on 19-Dec-2015
United Nations Economic Commission for EuropeStatistical DivisionUnited Nations Economic Commission for EuropeStatistical Division
High-Level Group
Achievements and Plans
Steven ValeUNECE
steven.vale@unece.org
Introducing the HLG
High-level Group for the Modernisation of Statistical Production and ServicesCreated by the Conference of European Statisticians in 2010Vision and strategy endorsed by CES in 2011/2012
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)
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”
These challenges are too big for statistical organisations to
tackle on their own
We need to work together
What does Big Data mean for official statistics?
Priorities:Partnerships – GuidelinesPrivacy – GuidelinesQuality – GuidelinesSkills – Survey Skills profileIT / methodological issues - Sandbox
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
Architecture Working Group
Catalogue team
**Just released**http://www1.unece.org/stat/platform/display/CSPA/CSPA+Global+Artefacts+Catalogue
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 ofinternationally comparable statisticsfrom one or more Big Data sources
Get involved!Anyone is welcome to contribute!
Contact: support.stat@unece.org
More Information HLG Wiki: www1.unece.org/stat/platform/display/hlgbas
LinkedIn group:“Modernising official statistics”
Workshop on International Collaboration for Standards-based Modernization
Progress on priorities from 2013 to 2015
May 5-7, 2015
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.
New governance structure introduced at 2013 Work Session – birth of MC on Standards under HLG for modernization of statistics
CES
Bureau
HLG
HLG Secretariat Team
Modernisation Committee
Standards
Modernisation Committee
Production and methods
Modernisation Committee
Products and sources
Modernisation Committee
Organisational framework
and evaluation
Executive Board
Project 1
Project 2
Project n
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
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
1. Establish the need
GSIM 1.1(2013)
GSBPM 5.0 (2013)
CMF A2009
CMF B2011, 2013
CMF C
CMF D
GSBPM+
DDI Profiles2013
2. Develop
Model -Based DDI
DDI 3.2
SDMX2.1
3. Adopt
4. Disseminate / Implement
5. Maintain / Review
DDI 2.5
SDMXCOG
Core frameworks & standards overseen by
MC StandardsOther artefacts overseen
by MC Standards
Other artefacts overseen
by MC Standards
Standards of relevance to modernisation, not overseen by MC Standards but of interest
Standards of relevance to modernisation, not overseen by MC Standards but of interest
MAP of STANDARDS
GAMSO 0.2
SDMX Glossary
UNECEMetadata Vocabulary
GAMSO 1.0 (2015) Quality
Indicators - GSBPM
Quality Indicators Big Data/Admin data
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
2015 MC Standards meetingTOPIC 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