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Towards FAIR and Interoperable Statistical Data

The Semantic Knowledge Management System (SKMS) is a platform for structuring and publishing institutional statistical knowledge using Semantic Web technologies. It provides the transformation of internal expertise, documents, and metadata into a coherent, machine-interpretable semantic environment.

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, SKOS, XKOS), with persistent URIs and alignment across international and national statstical institutions, and serve as the foundation for the preparation and dissemination of linked open statistical data and rich metadata.

For SDMX-based structures, SKMS integrates with the Interoperability Basis platform, responsible for the semantic transformation and publication of SDMX concepts, code lists, and data structures in accordance with Linked Data principles.

SKMS fosters the discovery, reuse, and interoperability of statistical data and metadata, providing a robust foundation for implementing the FAIR principles.

 

Focus: Labour Statistics

Labour statistics is the first domain within SKMS and serves as a practical demonstration of the platform’s capabilities. Based on documents from institutions such as the ILO and national statistical offices, key concepts, classifications, and indicators are formalised and semantically enriched.

This process results in linked open statistical data and rich metadata describing employment, unemployment, working conditions, and other aspects of labour statistics — aligned with international standards and ready for cross-country use.

The platform is ready to be enlarged by national statistical institutions and international organisations seeking to enhance the semantic quality and interoperability of statistical data.

[Explore our Semantic Labour Market section →]  Labour Market Button.png

Key Users

The Semantic Knowledge Management System is designed to support a wide range of stakeholders involved in the production, coordination, and use of statistical knowledge:

  • National Statistical Offices
  • International Organisations (e.g. ILO, FAO, Eurostat, UNECE)
  • Statistical Methodology Experts
  • Knowledge Management Teams

We welcome contributors, domain experts, and partner organizations to help advance semantic interoperability.
To join the Interoperability Basis community or learn more, write to us at: info@semanticip.org.