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Metadata Common Vocabulary (MCV) Work in progress and issues, 2006-2007

Towards Implementation of SDMX (Washington D.C., 9-11 January 2007). Metadata Common Vocabulary (MCV) Work in progress and issues, 2006-2007. Marco Pellegrino Eurostat. Denis Ward OECD. Lars Thygesen OECD. Metadata Common Vocabulary ( M.C.V.).

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Metadata Common Vocabulary (MCV) Work in progress and issues, 2006-2007

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  1. Towards Implementation of SDMX (Washington D.C., 9-11 January 2007) Metadata Common Vocabulary (MCV) Work in progress and issues, 2006-2007 Marco Pellegrino Eurostat Denis Ward OECD Lars Thygesen OECD

  2. Metadata Common Vocabulary (M.C.V.) • The MCV is one of the four initiatives launched at the very beginning of SDMX, in 2001-2002. • Presented in: “Developing a common understanding of standard metadata components: a statistical glossary”,M. Pellegrino and D. Ward, Workshop on Statistical Data and Metadata Exchange, Washington D.C., 6-7 September 2001.

  3. Starting point • Basic idea: When sharing data, we must speak the same language • Problem: no universally accepted metadata framework

  4. Starting point Developing a common understanding on meaning of: - general concepts (metadata, quality,…) - basic detailed metadata components For facilitating a mapping of different metadata systems, independently from any specific metadata model

  5. Content of MCV by categories(March 2006) Number of terms384 of which: synonyms29 Definitions355 SDMX exchange terms(authored by “SDMX” or directly related to)138 General Concepts(indirectly related to SDMX) 246 Sources used: Almost 70 different published documents or glossaries

  6. SDMX MCV Glossary Fields • Title (mandatory) • Definition (mandatory) • Context for the definition (optional, but widely used) • Definition source (mandatory) • Links to related terms within the glossary (optional) • URL to more detailed information (optional)

  7. Expected benefits and use • Improved access to a set of standard definitions of metadata terms through a single entry point • Support to standardisation and consistency of metadata compiled • Facilitate comparisons across geographical entities • Support to XML structures and web services for searching and comparing statistical data and metadata with minimum need to determine “semantic equivalence” • Facilitate mapping of different metadata systems, independently from any specific metadata model

  8. Glossary relationships Eurostat - OECD Glossaries (7 600) MCV (380) Eurostat / OECD Terminology SDMX cross domain Concepts (26) National terminology

  9. SDMX MCV (March 2006) Stand-alone file: PDF (www.sdmx.org) Word (on request) SDMX-ML (in 2007) Web glossary with extraction facilities: CODED OECD Glossary Working paper: Eurostat-OECD, “Using the MCV terminology for mapping metadata from different institutions”, METIS work session, Geneva, 3-5 April 2006 http://www.unece.org/stats/documents/ece/ces/ge.40/2006/wp.13.e.pdf

  10. MCV – Issues for discussion • Relevance of terms currently in the MCV; suggestions for definitions and additional terms • Use of MCV and common concepts in connection with metadata systems and national glossaries - Possibility to map? • Maintenance and periodic revisions • Use of registry facilities for notifying interest

  11. MCV Feedback? Send comments and suggestions to: - denis.ward@oecd.org - marco.pellegrino@ec.europa.eu Estat-SDMX@ec.europa.eu

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