Download presentation
Presentation is loading. Please wait.
Published byJack Reeves Modified over 8 years ago
1
Statistical Data and Metadata Exchange SDMX Metadata Common Vocabulary Status of project and issues (2004-2005) Marco Pellegrino Eurostat Marco.Pellegrino@cec.eu.int Denis Ward OECD Denis.Ward@oecd.org
2
1 Overview SDMX Metadata Common Vocabulary Background Objectives and benefits of MCV Status of the project Expected benefits and use
3
2 Terminology problems...
4
3 No universally accepted metadata framework Semantics is important to interoperation - registries contain related and sometimes overlapping information - data must be kept updated and synchronized with a minimum effort Common understanding on meaning of: - general concepts (metadata, quality,…) - basic “atomic” metadata components Starting point
5
4 Components of International Standards BUSINESS MODELS SEMANTICS (content) SYNTAX (e.g. XML)
6
5 Metadata Common Vocabulary Ultimate goal of project: to develop a common understanding of standard metadata items focusing on descriptions of statistical concepts and methodologies used by statisticians in the collection, processing and dissemination of statistical data. Immediate objective: to develop a Metadata glossary of those standard components, consistent with existing international standards and with terminology being used within SDMX organizations, other international / national agencies and related projects.
7
6 Main references for standardisation ISO/IEC 11179, part 4 (Formulation of data definitions) Recommendations for constructing definitions for data and metadata ISO/IEC 11179, parts 1 and 3 (Metadata registry) Definition of main metadata items Quality glossaries UN and UN/ECE-CES methodological documents and glossaries (on metadata modelling, classifications, data editing,…) SDMX documents (Gesmes/TS users guide, ISO framework) Definitions of main items for data-metadata exchange
8
7 Tentative classification of MCV terms (draft 3rd public release, April 2005)
9
8 Metadata Standard Components Metadata elements describing different elements of statistical production cycle Administrative, Sources Concepts, coverage, definitions StandardsMethodology (collection, compilation,...) Quality assessment Unambiguous accepted definition of metadata elements located in a glossary comprising the Metadata Common Vocabulary
10
9 Fields of MCV glossary 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)
11
10 Reference Metadata
12
11 Accuracy
13
12 Expected benefits and use The use of MCV terminology would: support standardisation and consistency of metadata compiled within each institute, when associated to SDMX standards and “key family” descriptions Facilitate comparisons across geographical entities Facilitate mapping of different metadata systems, as it can be used independently from any specific metadata model
14
13 For more info: SDMX: http://www.sdmx.orghttp://www.sdmx.org OECD: http://cs3-hq.oecd.org/scripts/stats/glossary/index.htmhttp://cs3-hq.oecd.org/scripts/stats/glossary/index.htm CODED: http://forum.europa.eu.int/irc/dsis/coded/info/data/coded/en.htmhttp://forum.europa.eu.int/irc/dsis/coded/info/data/coded/en.htm CIRCA: http://forum.europa.eu.int/Public/irc/dsis/metadata/libraryhttp://forum.europa.eu.int/Public/irc/dsis/metadata/library Metadata Common Vocabulary
15
14 Thanks for your attention Marco Pellegrino Eurostat Marco.Pellegrino@cec.eu.int Denis Ward OECD Denis.Ward@oecd.org
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.