Selection of data sets for FAIRification in drug discovery and development: Which, why, and how?
Details
Serval ID
serval:BIB_7C02573AB3FE
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Selection of data sets for FAIRification in drug discovery and development: Which, why, and how?
Journal
Drug discovery today
ISSN
1878-5832 (Electronic)
ISSN-L
1359-6446
Publication state
Published
Issued date
08/2022
Peer-reviewed
Oui
Volume
27
Number
8
Pages
2080-2085
Language
english
Notes
Publication types: Journal Article ; Review ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Publication Status: ppublish
Abstract
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.
Keywords
Cost-Benefit Analysis, Drug Discovery, Cost–benefit, Drug discovery, FAIR, FAIRification, Pharmaceutical R&D
Pubmed
Web of science
Open Access
Yes
Create date
31/05/2022 12:20
Last modification date
11/06/2024 6:13