ISO 21526 Conform Metadata Editor for FAIR Unicode SKOS Thesauri
Mark R Stöhr1, Andreas Günther1, Raphael W Majeed1
1UGMLC, German Center for Lung Research (DZL), Justus-Liebig-University, Giessen, Germany.
Studies in Health Technology and Informatics
|May 27, 2021
Summary
This study introduces a new application to improve the creation of health care classification schemes using Simple Knowledge Organization System (SKOS). The tool enhances raw Unicode SKOS files with navigation, auto-completion, and validation, aiding documentalists and data scientists.
Area of Science:
- Medical Informatics
- Knowledge Organization Systems
- Semantic Interoperability
Background:
- Metadata repositories are crucial for data integration and semantic interoperability.
- Standards like ISO/IEC 11179, RDF, and SKOS promote metadata interoperability, maintainability, and sustainability.
- The FAIR guidelines further explicate these aspects through principles and sub-principles.
Purpose of the Study:
- To address limitations in current metadata editors for Simple Knowledge Organization System (SKOS) in health care.
- To provide an application that enhances the usability of raw Unicode SKOS files.
- To support documentalists and data scientists in creating comprehensive and valid health care SKOS classification schemes.
Main Methods:
- Development of a novel application that integrates with existing Unicode text editors.
- Implementation of features including navigation, auto-completion, and validity checks for SKOS resource annotations.
- Focus on application independence and versatility, avoiding server applications or additional databases.
Main Results:
- The application enhances raw Unicode SKOS files with advanced editing capabilities.
- It provides navigation, auto-completion, and validity checks, improving the metadata creation process.
- The solution supports the specific requirements of health care SKOS classification schemes as mandated by ISO/IEC 21526.
Conclusions:
- The developed application offers a versatile and independent solution for managing health care SKOS classification schemes.
- It overcomes the limitations of current metadata editors by supporting raw Unicode SKOS files effectively.
- This tool aids in producing higher quality metadata, essential for semantic interoperability in medical informatics.
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