United Nations Economic Commission for Europe United Nations Economic Commission for Europe Statistical Division Statistical Division Wh t’ What’s New from the N f th High-Level Group? Steven Vale UNECE steven.vale@unece.org HLG Background High Level Group for the Modernisation of 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 10 heads of national and international statistical organisations 1
Riding the Increasing big data New cost & wave wave competitors competitors difficulty of & changing acquiring Competition expectations data for skilled Rapid changes in resources Reducing the environment budget These challenges are too big These challenges are too big for statistical organisations to tackle on their own We need to work together 2
A strategy for modernisation Transform vision to reality T f i i li New sources and products Streamlined processes Managing organisational change to support modernisation and collaboration d i ti d ll b ti A strategy for modernisation Transform vision to reality a s o s o to ea ty 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 3
Information objects Things that flow between GSBPM sub- Things that flow between GSBPM sub processes Things that drive and integrate sub- processes p 4
GSIM and GSBPM GSIM describes the information objects and GSIM describes the information objects and flows within the statistical business process. 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 5
What next? 2 big projects for 2013 1: Standards Implementing GSIM • Help, support, training • Knowledge base • Platform for sharing experiences Reviewing / revising GSBPM and GSIM Integrating standards Integrating standards • Map GSIM to SDMX and DDI • Geospatial standards • Fundamental Principles of Official Statistics 6
2: Common Statistical Production Architecture Generalized Statistical Statistical Production System Production System GSBPM GSIM Common Generic Industrial Statistics Methods Technology Implementing standards-based statistical production “Plug and Play” 7
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 Big Data HLG released a paper “What does 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? C di ti l f HLG? 8
Do you want to get involved? Sprints Sprints Virtual Task Teams Reviews Let us know support.stat@unece.org HLG governance issues The work is growing Expectations are rising More efficient structure needed • Re-organisation of UNECE expert groups • Clearer focus on modernisation Clearer focus on modernisation 9
CES Bureau HLG HLG Secretariat Team HLG workshops Communications Executive Board Modernisation Modernisation Modernisation Modernisation Committee Committee Project Committee Committee management Organisational Production Products and Standards framework and and methods sources evaluation HRMT MSIS Data collection METIS Legal issues SAB Confidentiality GSBPM / GSIM Licensing Data editing Big data DDI / SDMX Evaluation Plug and play Open data Geospatial standards Micro-data Metadata flows More information GSIM GSIM • http://www1.unece.org/stat/platform/display/metis/Ge neric+Statistical+Information+Model+(GSIM) HLG • http://www1.unece.org/stat/platform/display/hlgbas 10
Recommend
More recommend
