EDAM | Instances | AgroPortal

ID	http://edamontology.org http://edamontology.org https://agroportal.eu/ontologies/EDAM/edamontology.org Loading
Type	http://www.w3.org/2002/07/owl#Ontology
isDefinedBy	http://edamontology.org/EDAM.owl
versionInfo	1.25-20260626T1230Z
priorVersion	http://edamontology.org/EDAM_1.25
logo	https://raw.githubusercontent.com/edamontology/edamontology/main/EDAM-logo-square.svg
versionIRI	http://edamontology.org/EDAM_1.25-20260626T1230Z
contributor	https://github.com/edamontology/edamontology/graphs/contributors and many more!, Claudia Blankenburg, Helge Hecht
creator	Hervé Ménager, Jon Ison, Matúš Kalaš, Federico Bianchini, Claire Rioualen, Jonathan Hunter
page	http://edamontology.org/page
format	http://www.iana.org/assignments/media-types/application/rdf+xml
citation	https://doi.org/10.7490/f1000research.1118900.1
has_format	OWL format, RDF/XML
next_id	4076
repository	https://github.com/edamontology/edamontology
date	15.06.2025 18:40 UTC
idspace	EDAM_topic http://edamontology.org/topic_ "EDAM topics", EDAM_format http://edamontology.org/format_ "EDAM data formats", EDAM_operation http://edamontology.org/operation_ "EDAM operations", EDAM_data http://edamontology.org/data_ "EDAM types of data", EDAM http://edamontology.org/ "EDAM relations, concept properties, and subsets"
remark	EDAM is a community project and its development can be followed and contributed to at https://github.com/edamontology/edamontology., EDAM is particularly suitable for semantic annotations and categorisation of diverse resources related to data analysis and management: e.g. tools, workflows, learning materials, or standards. EDAM is also useful in data management itself, for recording provenance metadata of processed data.
hasSubset	http://edamontology.org/obsolete, http://edamontology.org/bio, http://edamontology.org/data, http://edamontology.org/events, http://edamontology.org/formats, http://edamontology.org/identifiers, http://edamontology.org/operations, http://edamontology.org/properties, http://edamontology.org/topics
description	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.
title	EDAM - The ontology of data analysis and management
license	https://creativecommons.org/licenses/by-sa/4.0
format	application/rdf+xml
Version	1.25-20260626T1230Z