Ontologies
EDAM
Ontology of bioscientific data analysis and data management (EDAM)
OWL
Last submission date September 24, 2024

General information

EDAM is a comprehensive ontology of well-established, familiar concepts that are prevalent within computational biology, bioinformatics, and bioimage informatics. EDAM includes types of data and data identifiers, data formats, operations, and topics related to data analysis in life sciences. EDAM provides a set of concepts with preferred terms and synonyms, related terms, definitions, and other information - organised into a simple and intuitive hierarchy for convenient use. EDAM is particularly suitable for semantic annotations and categorisation of diverse resources related to bioscientific data analysis: e.g. tools, workflows, or training materials. EDAM is also useful in data management, for recording provenance metadata of processed bioscientific data., EDAM is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life-cycle. Targetting usability by diverse users, the structure of EDAM is relatively simple, divided into 4 main sections: Topic, Operation, Data (incl. Identifier), and Format., and data life cycle. Targetting usability by diverse users See more...
Initial created on September 24, 2024. For additional information, contact Git Hub Repository (https://github.com/edamontology/edamontology) and Community Chat (https://gitter.im/edamontology/edamontology).

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URI

http://edamontology.org
http://edamontology.org
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Version IRI

http://edamontology.org/1.25-20240924T0027Z-unstable(1.26)
http://edamontology.org/1.25-20240924T0027Z-unstable(1.26)
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BiodivPortal URI

https://biodivportal.gfbio.org/ontologies/EDAM
https://biodivportal.gfbio.org/ontologies/EDAM
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