Selection of data sets for FAIRification in drug discovery and development: Which, why, and how?

Despite the intuitive value of adopting the Findable, Accessible, Interoperable, and Reusable (FAIR) principles in both academic and industrial sectors, challenges exist in resourcing, balancing long- versus short-term priorities, and achieving technical implementation. This situation is exacerbated...

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Detalles Bibliográficos
Autores principales: Alharbi, Ebtisam, Gadiya, Yojana, Henderson, David, Zaliani, Andrea, Delfin-Rossaro, Alejandra, Cambon-Thomsen, Anne, Kohler, Manfred, Witt, Gesa, Welter, Danielle, Juty, Nick, Jay, Caroline, Engkvist, Ola, Goble, Carole, Reilly, Dorothy S., Satagopam, Venkata, Ioannidis, Vassilios, Gu, Wei, Gribbon, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science Ltd. ;, Distributed by Virgin Mailing and Distribution 2022
Materias:
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236643/
https://www.ncbi.nlm.nih.gov/pubmed/35595012
http://dx.doi.org/10.1016/j.drudis.2022.05.010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236643/
https://www.ncbi.nlm.nih.gov/pubmed/35595012
http://dx.doi.org/10.1016/j.drudis.2022.05.010

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