<p>EDAM: the bioscientific data analysis ontology (update 2021)</p>

Melissa Black; Lucie Lamothe; Hager Eldakroury; Mads Kierkegaard; Ankita Priya; Anne Machinda; Uttam Singh Khanduja; Drashti Patoliya; Rashika Rathi; Tawah Peggy Che Nico; Gloria Umutesi; Claudia Blankenburg; Anita Op; Precious Chieke; Omodolapo Babatunde; Steve Laurie; Steffen Neumann; Veit Schwämmle; Ivan Kuzmin; Chris Hunter; Jonathan Karr; Jon Ison; Alban Gaignard; Bryan Brancotte; Hervé Ménager; Matúš Kalaš

doi:10.7490/f1000research.1118900.1

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How to cite this poster:

Black M, Lamothe L, Eldakroury H et al. EDAM: the bioscientific data analysis ontology (update 2021) [version 1; not peer reviewed]. F1000Research 2022, 11(ISCB Comm J):1 (poster) (https://doi.org/10.7490/f1000research.1118900.1)

NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

EDAM: the bioscientific data analysis ontology (update 2021)

Melissa Black, Lucie Lamothe, Hager Eldakroury, Mads Kierkegaard, Ankita Priya, Anne Machinda, Uttam Singh Khanduja, Drashti Patoliya, Rashika Rathi, Tawah Peggy Che Nico, Gloria Umutesi, Claudia Blankenburg, Anita Op, Precious Chieke, Omodolapo Babatunde, Steve Laurie, Steffen Neumann, Veit Schwämmle, Ivan Kuzmin, Chris Hunter, Jonathan Karr, Jon Ison, Alban Gaignard, Bryan Brancotte, Hervé Ménager, Matúš Kalaš¹

Published 01 Jan 2022 (https://doi.org/10.7490/f1000research.1118900.1)

Author Affiliations

¹ Department of Informatics, University of Bergen, Norway

Copyright © 2022 Black M et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 01 Jan 2022

EDAM: the bioscientific data analysis ontology (update 2021)
[version 1; not peer reviewed]

Author Affiliations

¹ Department of Informatics, University of Bergen, Norway

Presented at

Galaxy Community Conference, 2021

ISMB/ECCB 2021

Bioinformatics Open Source Conference (BOSC), 2021

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Terminology, Ontology, Computational tools, Learning materials, Standards, Data management, Open science, Community effort, Inclusion, Citizen science, Provenance

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