Ontology engineering helps researchers make data FAIR and interoperable
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Summary
The article discusses how ontology engineering helps researchers create structured, machine-readable descriptions of concepts and relationships within research domains. These shared vocabularies enable consistent data interpretation by both humans and machines, improving data interoperability and supporting FAIR principles (Findable, Accessible, Interoperable, Reusable). The piece highlights that researchers at the University of Groningen can benefit from ontology support to make their data more meaningful and reusable across disciplines.
Key quotes
· 3 pulledOntology engineering addresses this by creating structured, machine-readable descriptions of concepts and relationships within a research domain.
These shared vocabularies allow both humans and machines to interpret data consistently.
By adopting ontologies, researchers can improve the interoperability of their data, one of the core principles of FAIR (Findable, Accessible, Interoperable, Reusable).
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