Selection of data sets for FAIRification in drug discovery and development: Which, why, and how?
Cost–benefit
Drug discovery
FAIR
FAIRification
Pharmaceutical R&D
Journal
Drug discovery today
ISSN: 1878-5832
Titre abrégé: Drug Discov Today
Pays: England
ID NLM: 9604391
Informations de publication
Date de publication:
08 2022
08 2022
Historique:
received:
14
01
2022
revised:
28
04
2022
accepted:
10
05
2022
pubmed:
21
5
2022
medline:
22
6
2022
entrez:
20
5
2022
Statut:
ppublish
Résumé
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 by the unclear mechanisms by which costs and benefits can be assessed when decisions on FAIR are made. Scientific and research and development (R&D) leadership need reliable evidence of the potential benefits and information on effective implementation mechanisms and remediating strategies. In this article, we describe procedures for cost-benefit evaluation, and identify best-practice approaches to support the decision-making process involved in FAIR implementation.
Identifiants
pubmed: 35595012
pii: S1359-6446(22)00199-4
doi: 10.1016/j.drudis.2022.05.010
pmc: PMC9236643
pii:
doi:
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
2080-2085Informations de copyright
Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.
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