Ontologies for increasing the FAIRness of plant research data.
Ontology highlight
ABSTRACT: The importance of improving the FAIRness (findability, accessibility, interoperability, reusability) of research data is undeniable, especially in the face of large, complex datasets currently being produced by omics technologies. Facilitating the integration of a dataset with other types of data increases the likelihood of reuse, and the potential of answering novel research questions. Ontologies are a useful tool for semantically tagging datasets as adding relevant metadata increases the understanding of how data was produced and increases its interoperability. Ontologies provide concepts for a particular domain as well as the relationships between concepts. By tagging data with ontology terms, data becomes both human- and machine- interpretable, allowing for increased reuse and interope
SUBMITTER: Dumschott K
PROVIDER: S-EPMC10720748 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
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