| Acronym | EDAM |
| Visibility | Public |
| Description | EDAM is a comprehensive ontology of well-established, familiar concepts that are prevalent within bioscientific data analysis and data management. EDAM includes topics, operations, types of data and data identifiers, and data formats, relevant in data analysis and 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. 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 bioscientific data.
EDAM是一个全面的本体论，包含了在生物科学数据分析和数据管理中普遍存在的既定的、熟悉的概念。EDAM包括主题、操作、数据类型和数据标识符以及数据格式，与生命科学的数据分析和管理有关。EDAM提供了一套概念，包括首选术语和同义词、相关术语、定义和其他信息--组织成一个简单而直观的层次结构，以方便使用。EDAM特别适用于与数据分析和管理有关的各种资源的语义注释和分类：如工具、工作流程、学习材料或标准。EDAM在数据管理本身也很有用，可以记录经过处理的生物科学数据的溯源元数据。 |
| Status | Production |
| Format | OWL |
| Contact | Matúš Kalaš, matus.kalas@uib.no Hervé Ménager, hmenager@pasteur.fr GitHub repository, https://github.com/edamontology/edamontology |
| Version | Released | Uploaded | Downloads |
|---|---|---|---|
| unstable(1.26_dev) (Parsed, Indexed, Metrics, Annotator) | 06/01/2023 | 06/08/2022 | OWL | CSV | RDF/XML |
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