From version 55.1
edited by Yuri
on 2025/06/24 13:44
Change comment: There is no comment for this version
To version 52.1
edited by Yuri
on 2025/06/24 13:38
Change comment: There is no comment for this version

Summary

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6 6  Statistical glossaries, classifications, and indicators are extracted, formalised, and semantically enriched through the analysis of materials collected in the document Library. These assets are then represented as semantic models ([[RDF>>https://www.w3.org/RDF/||rel="noopener noreferrer" target="_blank"]], [[SKOS>>https://www.w3.org/2009/08/skos-reference/skos.html||rel="noopener noreferrer" target="_blank"]], [[XKOS>>https://rdf-vocabulary.ddialliance.org/xkos.html||rel="noopener noreferrer" target="_blank"]]), with persistent [[URIs>>https://www.w3.org/Addressing/URL/uri-spec.html||rel="noopener noreferrer" target="_blank"]] and alignment (% style="color:#e74c3c" %)across institutions(%%), and serve as the foundation for the preparation and dissemination of linked open statistical data and [[smart metadata>>http://cosmos-conference.org/index.html||rel="noopener noreferrer" target="_blank"]].
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8 -For [[SDMX>>https://sdmx.org/||rel="noopener noreferrer" target="_blank"]]-based structures, SKMS integrates with the [[Interoperability Basis platform>>https://basis.semanticip.org/xwiki/bin/view/Main/||rel="noopener noreferrer" target="_blank"]], (% style="color:#e74c3c" %)enabling(%%) the semantic transformation and publication of [[SDMX>>https://sdmx.org/||rel="noopener noreferrer" target="_blank"]] [[concepts>>https://basis.semanticip.org/xwiki/wiki/sdmx/view/Glossary/||rel="noopener noreferrer" target="_blank"]], [[code lists>>https://basis.semanticip.org/xwiki/wiki/sdmx/view/Models/||rel="noopener noreferrer" target="_blank"]], and data structures in accordance with [[Linked Data>>https://www.w3.org/DesignIssues/LinkedData||rel="noopener noreferrer" target="_blank"]] principles.
8 +For [[SDMX>>https://sdmx.org/||rel="noopener noreferrer" target="_blank"]]-based structures, SKMS integrates with the [[Interoperability Basis platform>>https://basis.semanticip.org/xwiki/bin/view/Main/||rel="noopener noreferrer" target="_blank"]], enabling the semantic transformation and publication of [[SDMX>>https://sdmx.org/||rel="noopener noreferrer" target="_blank"]] [[concepts>>https://basis.semanticip.org/xwiki/wiki/sdmx/view/Glossary/||rel="noopener noreferrer" target="_blank"]], [[code lists>>https://basis.semanticip.org/xwiki/wiki/sdmx/view/Models/||rel="noopener noreferrer" target="_blank"]], and data structures in accordance with [[Linked Data>>https://www.w3.org/DesignIssues/LinkedData||rel="noopener noreferrer" target="_blank"]] principles.
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10 -SKMS fosters the discovery, reuse, and interoperability of statistical data and metadata, providing a robust foundation for implementing the [[FAIR principles>>https://www.go-fair.org/fair-principles/||rel="noopener noreferrer" target="_blank"]] across (% style="color:#e74c3c" %)organizational and national boundaries.
10 +SKMS fosters the discovery, reuse, and interoperability of statistical data and metadata, providing a robust foundation for implementing the [[FAIR principles>>https://www.go-fair.org/fair-principles/||rel="noopener noreferrer" target="_blank"]] across organizational and national boundaries.
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13 13  {{/box}}
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17 17  **Focus: Labour Statistics**
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19 -Labour statistics is the first domain within SKMS and serves as a practical demonstration of the platform’s capabilities. Based on [[documents>>doc:working:Methodology.WebHome||rel="noopener noreferrer" target="_blank"]] from (% style="color:#e74c3c" %)institutions(%%) such as the ILO and national statistical offices, [[key concepts>>doc:working:Glossary.WebHome||rel="noopener noreferrer" target="_blank"]], classifications, and indicators are formalised and semantically enriched.
19 +Labour statistics is the first domain within SKMS and serves as a practical demonstration of the platform’s capabilities. Based on [[documents>>doc:working:Methodology.WebHome||rel="noopener noreferrer" target="_blank"]] from institutions such as the ILO and national statistical offices, [[key concepts>>doc:working:Glossary.WebHome||rel="noopener noreferrer" target="_blank"]], classifications, and indicators are formalised and semantically enriched.
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21 21  This process results in linked open statistical data and [[smart metadata>>http://cosmos-conference.org/index.html||rel="noopener noreferrer" target="_blank"]] describing employment, unemployment, working conditions, and other aspects of labour statistics — aligned with international standards and ready for cross-country use.
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