Statistical Data and Metadata Exchange Using MCV Terminology

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Statistical Data and Metadata Exchange Using MCV Terminology for Mapping Metadata: Eurostat and OECD

Statistical Data and Metadata Exchange Using MCV Terminology for Mapping Metadata: Eurostat and OECD Experience Marco Pellegrino Eurostat Marco. [email protected] eu. int Denis Ward OECD Denis. [email protected] org

Starting point Semantics is important to exchange § Problem: No universally accepted metadata framework

Starting point Semantics is important to exchange § Problem: No universally accepted metadata framework § Aim: To develop a common understanding on meaning of: - general concepts (metadata, quality, …) - basic “atomic” metadata components MCV developed to partially address this 1

SDMX MCV Glossary Fields n n n Title (mandatory) Definition (mandatory) Context for the

SDMX MCV Glossary Fields n n n 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) 2

Terms in the MCV by categories (March 2006) Number of terms of which: synonyms

Terms in the MCV by categories (March 2006) Number of terms of which: synonyms 384 29 Definitions 355 Terms used for describing statistical practices 209 Quality assessment concepts 100 General Metadata Concepts (ISO, UNECE, …) 147 Data exchange (GESMES/TS, SDMX) 125 Sources: Almost 70 different published documents or glossaries 3

MCV Availability - SDMX website (Word, database, HTML/XML) – www. sdmx. org -Web glossaries

MCV Availability - SDMX website (Word, database, HTML/XML) – www. sdmx. org -Web glossaries (CODED, OECD) with extraction facilities Contains SDMX high-level concepts – content-oriented guidelines MCV concepts mapped to existing metadata frameworks Eurostat Data Dissemination Format • OECD Metastore • 4

Glossary relationships MCV (380) Eurostat OECD Glossaries (6 700) SDMX cross domain concepts (26)

Glossary relationships MCV (380) Eurostat OECD Glossaries (6 700) SDMX cross domain concepts (26) 5

Expected benefits and use § § § Improved access to a set of standard

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 searching and comparing statistical data and metadata Facilitate mapping of different metadata systems, as the MCV can be used independently from any specific metadata model 6

OECD – Eurostat mapping to SDMX cross-domain concepts 7

OECD – Eurostat mapping to SDMX cross-domain concepts 7

Glossary relationships Eurostat OECD Glossaries (6 700) MCV (380) SDMX cross Eurostat / OECD

Glossary relationships Eurostat OECD Glossaries (6 700) MCV (380) SDMX cross Eurostat / OECD domain Terminology concepts (26) 8

Glossary relationships Eurostat OECD Glossaries (6 700) MCV (380) SDMX cross Eurostat / OECD

Glossary relationships Eurostat OECD Glossaries (6 700) MCV (380) SDMX cross Eurostat / OECD domain Terminology concepts National terminology (26) 9

Glossary relationships Eurostat OECD Glossaries (6 700) MCV (380) SDMX cross Eurostat / OECD

Glossary relationships Eurostat OECD Glossaries (6 700) MCV (380) SDMX cross Eurostat / OECD domain Terminology concepts National terminology (26) 10

Using MCV Terminology for Mapping Metadata: Eurostat and OECD Experience Thank you 11

Using MCV Terminology for Mapping Metadata: Eurostat and OECD Experience Thank you 11