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Combining international experience and our own research, SKMS provides a semantically rich interpretation environment for statistical institutions to: |
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-• Enhance the quality of statistical data and metadata |
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+* Enhance the quality of statistical data and metadata |
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+* Harmonize statistical terminology and classification |
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+* Align with FAIR principles |
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+* Ensure semantic interoperability and reuse |
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+* Facilitate accurate (meta)data interpretation |
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-• Harmonize statistical terminology and classification |
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-• Align with FAIR principles |
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-• Ensure semantic interoperability and reuse |
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-• Facilitate accurate (meta)data interpretation |
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The use of SKMS brings the following benefits: |
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-• Adoption of semantic modelling in statistical practice |
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+* Adoption of semantic modelling in statistical practice |
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+* Generation of semantically rich metadata and LOSD sets |
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+* Validation of results using visualization tools |
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-• Generation of semantically rich metadata and LOSD sets |
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-• Validation of results using visualization tools |
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== Key Users == |
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SKMS is designed to support a wide range of stakeholders engaged in the creation, management, dissemination, and use of statistical knowledge as well as the development of linked statistical data. |
