EDAM-bioimaging : The ontology of bioimage informatics operations, topics, data, and formats

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Kalaš, Matúš | Plantard, Laure | Sladoje, Nataša | Lindblad, Joakim | Kirschmann, Moritz, Alexander | Jones, Martin | Chessel, Anatole | Scholz, Leandro, Aluisio | Rössler, Fabienne | Dufour, Alexandre | Bogovic, John | Zhang, Chong | Waithe, Dominic | Sampaio, Paula | Paavolainen, Lassi | Hörl, David | Munck, Sebastien | Golani, Ofra | Moore, Josh | Gaignard, Alban | Levet, Florian | Paul-Gilloteaux, Perrine | Ison, Jon | Miura, Kota | Colombelli, Julien

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International audience. The ontology of bioimage informatics operations, topics, data, and formats What? EDAM-bioimaging is an extension of the EDAM ontology, dedicated to bioimage analysis, bioimage informatics, and bioimaging. Why? EDAM-bioimaging enables interoperable descriptions of software, publications, data, and workflows, fostering reliable and transparent science. How? EDAM-bioimaging is developed in a community spirit, in a welcoming collaboration between numerous bioimaging experts and ontology developers. How can I contribute? We need your expertise! You can help by reviewing parts of EDAM-bioimaging, posting comments with suggestions, requirements, or needs for clarification, or participating in a Taggathon or another hackathon. Please see https://github.com/edamontology/edam-bioimaging#contributing. EDAM-bioimaging is developed in an interdisciplinary open collaboration supported by the hosting institutions, participating individuals, and NEUBIAS COST Action (CA15124) and ELIXIR-EXCELERATE (676559) funded by the Horizon 2020 Framework Programme of the European Union. https://github.com/edamontology/edam-bioimaging @edamontology /edamontology/edam-bioimaging

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