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

Autor: Ebtisam Alharbi, Yojana Gadiya, David Henderson, Andrea Zaliani, Alejandra Delfin-Rossaro, Anne Cambon-Thomsen, Manfred Kohler, Gesa Witt, Danielle Welter, Nick Juty, Caroline Jay, Ola Engkvist, Carole Goble, Dorothy S. Reilly, Venkata Satagopam, Vassilios Ioannidis, Wei Gu, Philip Gribbon

Publikováno v: Alharbi, E, Gadiya, Y, Henderson, D, Zaliani, A, Delfin-rossaro, A, Cambon-thomsen, A, Kohler, M, Witt, G, Welter, D, Juty, N, Jay, C, Engkvist, O, Goble, C, Reilly, D S, Satagopam, V, Ioannidis, V, Gu, W & Gribbon, P 2022, ' Selection of data sets for FAIRification in drug discovery and development: Which, why, and how? ', Drug discovery today, vol. 27, no. 8, pp. 2080-2085 . https://doi.org/10.1016/j.drudis.2022.05.010

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 techn

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