EDAM is a comprehensive ontology of well-established, familiar concepts prevalent within life sciences data analysis and data management (including computational biology, bioinformatics, and bioimage informatics). EDAM includes topics, operations, types of data and data identifiers, and data formats relevant to data analysis and data management 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 (see figures below).
EDAM is particularly suitable for semantic annotations and categorising diverse resources related to data analysis and management: e.g. tools, workflows, learning materials, or standards. EDAM is also useful in data management for recording provenance metadata of processed life sciences data.
EDAM is a community project, and its development can be followed and contributed to at GitHub.