What’s New from the High-Level Group?
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United Nations Economic Commission for EuropeStatistical DivisionUnited Nations Economic Commission for EuropeStatistical Division
What’s New from theHigh-Level Group?
Steven ValeUNECE
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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
HLG Background
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The Challenges
Increasing cost &
difficulty of acquiring
data
New competitors & changing
expectations
Rapid changes in the environment
Competition for skilled resourcesReducing
budget
Riding the big data
wave
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These challenges are too big for statistical organisations to
tackle on their own
We need to work together
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Transform vision to reality New sources and products Streamlined processes Managing organisational change to support
modernisation and collaboration
A strategy for modernisation
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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
A strategy for modernisation
Endorsed
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Information objects
Things that flow between GSBPM sub-processes
Things that drive and integrate sub-processes
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GSIM and GSBPM
GSIM describes the information objects and flows within the statistical business process.
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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
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What next?
2 big projects for 2013
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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
1: Standards
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2: Common Statistical Production Architecture
GSBPM
Generalized Statistical
Production System
Common GenericIndustrial Statistics
Methods Technology
GSIM
Implementing standards-based statistical production
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“Plug and Play”
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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
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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?
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HLG governance issues
The work is growing Expectations are rising More efficient structure needed
• Re-organisation of UNECE expert groups• Clearer focus on modernisation
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Products and sources
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Organisational framework and
evaluation
MSIS SAB Data editing Plug and play
Data collection Confidentiality Big data Open data Micro-data
METIS GSBPM / GSIM DDI / SDMX Geospatial standards Metadata flows
HRMT Legal issues Licensing Evaluation
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Project management
HLG workshops Communications
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More information
GSIM• http://www1.unece.org/stat/platform/display/metis/Ge
neric+Statistical+Information+Model+(GSIM)
HLG• http://www1.unece.org/stat/platform/display/hlgbas