The CLEAR Principle: organizing data and metadata into semantically meaningful types of FAIR Digital Objects to increase their human explorability and cognitive interoperability

Semantic units organize knowledge graphs into levels of representational granularity, distinct granularity trees, and diverse frames of reference. This organization supports the cognitive interoperability of data and metadata and facilitates their contextual explorability by humans. The development of innovative user interfaces enabled by FDOs that are based on semantic units would empower users to access, navigate, and explore information in CLEAR knowledge graphs with optimized efficiency.

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Publication Details

Journal
Journal of Biomedical Semantics
Published
2025-10-28
DOI
https://doi.org/10.1186/s13326-025-00340-7
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

The CLEAR Principle: organizing data and metadata into semantically meaningful types of FAIR Digital Objects to increase their human explorability and cognitive interoperability

Lars Vogt
Journal of Biomedical Semantics
Research Data Management Practices
article

The CLEAR Principle: organizing data and metadata into semantically meaningful types of FAIR Digital Objects to increase their human explorability and cognitive interoperability

Lars Vogt
article en

Abstract

Semantic units organize knowledge graphs into levels of representational granularity, distinct granularity trees, and diverse frames of reference. This organization supports the cognitive interoperability of data and metadata and facilitates their contextual explorability by humans. The development of innovative user interfaces enabled by FDOs that are based on semantic units would empower users to access, navigate, and explore information in CLEAR knowledge graphs with optimized efficiency.

Journal of Biomedical SemanticsVol. 16(1)
Technische Informationsbibliothek (TIB) (DE)
Openalex Percentile: Top 55%
Research Data Management Practices
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