Transcript 2000 SDS Objectives

Towards Implementation of SDMX
9-11 January 2007
Statistical subject-matter domains
Lars Thygesen, OECD
January 2007
Objective
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No data collection necessary
No “central” repository or database
– a virtual database
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Sharing in real time
Anyone could access
– if authorised
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Same mechanism intra-nationally
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Metadata – a must for
international statistics
Find the data
 Understand comparability
 Concepts, definitions, data quality
 Recommended uses
 Reference metadata
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National statistical metadata
systems
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Multiple audiences
– Staff (e.g. statistician, developer, manager)
– Internal or external users of the statistics (e.g.
editors, news media, analysts, policy decision
makers)
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Structural metadata
Reference metadata
– Conceptual metadata
– Methodological metadata,
– Quality metadata
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Metadata systems of
international organisations
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concepts, definitions of concepts,
measurement units, transformations
delimitation of populations
dimensions of quality (e.g. sample sizes,
standard errors on estimates, other
sources of errors
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SDMX – the link between national and
international frameworks
cubes
 structural metadata
 DSD
 reference metadata relating to cubes
 attachment levels
 MSD
 terminology  MCV
 themes  Statistical Subject-Matter
Domains
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Towards a generic model
each organisation has its own theme
structure and terminology
 we all make data available on web
 how can users go across domains
(organisations)?
 how can they find what they want?
 how can we exchange data & metadata?
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A scenario for data sharing
a user wants data from Mexico, Uganda
and OECD
 on GDP per capita
 goes to the registry
 how to find the domain?
 Statistical Subject-Matter Domains
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Statistical Subject-Matter Domains
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Identical to UNECE classification of
activities
created with partly the same objective
It is not perfect
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No perfect classification exists
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It is used and clear
It can be mapped
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– “we call it so-and-so”
– ‘we want this to be at level 1”
– is it easy to agree on themes in your
organisation?
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UNECE Classification of International
Statistical Activities
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Domain 1: Demographic and social statistics
Domain 2: Economic statistics
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Domain 3: Environment and multi-domain statistics
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1: Demographic and social statistics
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
1.10
1.11
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Population and migration
Labour
Education
Health
Income and consumption
Social protection
Human settlements and housing
Justice and crime
Culture
Political and other community activities
Time-use
2: Economic statistics
2.1
Macroeconomic statistics
2.2
Economic accounts
2.3
Business statistics
2.4
Sectoral statistics
2.4.1
Agriculture, forestry, fisheries
2.4.2
Energy
2.4.3
Mining, manufacturing, construction
2.4.4
Transport
2.4.5
Tourism
2.4.6
Banking, insurance, financial statistics
2.5
Government finance, fiscal and public sector statistics
2.6
International trade and balance of payments
2.7
Prices
2.8
Labour cost
2.9
Science and technology
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3: Environment and multi-domain
statistics
3.1
Environment
3.2
Regional and small area statistics
3.3
Multi-domain statistics and indicators
3.3.1
Living conditions, poverty and cross-cutting
social issues
3.3.2
Gender and special population groups
3.3.3
Information society
3.3.4
Globalisation
3.3.5
Indicators related to the Millennium
Development Goals
3.3.6
Sustainable development
3.4
Yearbooks and similar compendia
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Who should develop DSDs?
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Who can be responsible?
International organisation
– if one leading organisation
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Inter-secretariat groups
– e.g. ISWGNA
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How can we ensure coherence across
DSDs?
Conceptual analysis
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Summing up
Statistical subject-matter domains for:
 thematic structure for presenting data
links in registry
 organising the development of SDMX
DSDs and MSDs
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thanks for your attention
[email protected]
January 2007
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