ArticleScientific data2025
Suggestions for extending the FAIR Principles based on a linguistic perspective on semantic interoperability.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Towards the digital analytical sciences in chemistry and biochemistry: from FAIR data ecosystems to artificial intelligence.Analytical and bioanalytical chemistry · 2026Review
- Article
- The Semantic Units Framework, a technology-agnostic representational approach to FAIR and CLEAR knowledge infrastructures.Scientific data · 2026Article
- Collective action for responsible global health data sharing and use.BMJ global health · 2026Review
- To Be FAIR: Theory Specification Needs an Update.Perspectives on psychological science : a journal of the Association for Psychological Science · 2026Article
- Semantic alignment of the German Human Genome-Phenome Archive metadata model in Europe's genomics field.Scientific data · 2026Article
- Rosetta Statements: simplifying FAIR knowledge graph construction with a user-centred approach.Database : the journal of biological databases and curation · 2026Article
- The CLEAR Principle: organizing data and metadata into semantically meaningful types of FAIR Digital Objects to increase their human explorability and cognitive interoperability.Journal of biomedical semantics · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
FAIR (meta)data presuppose their successful communication between machines and humans while preserving meaning and reference. The FAIR Guiding Principles lack specificity regarding semantic interoperability. We adopt a linguistic perspective on semantic interoperability and investigate the structures and conventions ensuring reliable communication of textual information, drawing parallels with data structures by understanding both as models. We propose a conceptual model of semantic interoperability, comprising intensional and extensional terminological interoperability, as well as logical and schema propositional interoperability. Since there cannot be a universally accepted best vocabulary and best (meta)data schema, establishing semantic interoperability necessitates the provision of comprehensive sets of intensional and extensional entity mappings and schema crosswalks. In accordance with our conceptual model, we suggest additions to the FAIR Guiding Principles that encompass the requirements for semantic interoperability. Additionally, we argue that attaining FAIRness of (meta)data requires not only their organization into FAIR Digital Objects, but also the establishment of a FAIR ecosystem of FAIR Services, that include a terminology, a schema, and an operations service.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.