Statistical subject-matter domains

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Presentation transcript:

Statistical subject-matter domains Work very much in progress – ink not dry Still some of the paper missing We definitely are seeking your advice on this I know you haven’t had a chance to read it – please do Trying to show how a link can be established between systems of NSOs and IOs metadata Lars Thygesen, OECD May 2007

Purpose Statistical subject-matter domains for: thematic structure for presenting data links in registry organising the development of SDMX DSDs and MSDs May 2007

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? May 2007

Statistical Subject-Matter Domains Identical to UNECE classification of activities created with partly the same objective It is not perfect “we call it so-and-so” ‘we want this to be at level 1” No perfect classification exists is it easy to agree on themes in your organisation? It is used and clear It can be mapped May 2007

UNECE Classification of International Statistical Activities Domain 1: Demographic and social statistics Domain 2: Economic statistics Domain 3: Environment and multi-domain statistics May 2007

1: Demographic and social statistics 1.1 Population and migration 1.2 Labour 1.3 Education 1.4 Health 1.5 Income and consumption 1.6 Social protection 1.7 Human settlements and housing 1.8 Justice and crime 1.9 Culture 1.10 Political and other community activities 1.11 Time-use May 2007

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 May 2007

3: Environment and multi-domain statistics 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 May 2007

Pros and cons It is not perfect No perfect classification exists “we call it so-and-so” ‘we want this to be at level 1” No perfect classification exists is it easy to agree on themes in your organisation? It is used and clear It can be mapped May 2007

thanks for your attention lars.thygesen@oecd.org May 2007