A FAIR-Decide framework for pharmaceutical R&D: FAIR data cost–benefit assessment

Ebtisam Alharbi; Rigina Skeva; Nick Juty; Caroline Jay; Carole Goble

doi:10.1016/j.drudis.2023.103510

A FAIR-Decide framework for pharmaceutical R&D: FAIR data cost–benefit assessment

Ebtisam Alharbi, Rigina Skeva, Nick Juty, Caroline Jay, Carole Goble

Research output: Contribution to journal › Article › peer-review

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Abstract

The FAIR (findable, accessible, interoperable and reusable) principles are data management and stewardship guidelines aimed at increasing the effective use of scientific research data. Adherence to these principles in managing data assets in pharmaceutical research and development (R&D) offers pharmaceutical companies the potential to maximise the value of such assets, but the endeavour is costly and challenging. We describe the ‘FAIR-Decide’ framework, which aims to guide decision-making on the retrospective FAIRification of existing datasets by using business analysis techniques to estimate costs and expected benefits. This framework supports decision-making on FAIRification in the pharmaceutical R&D industry and can be integrated into a company’s data management strategy.

Original language	English
Article number	103510
Journal	Drug discovery today
Volume	28
Issue number	4
Early online date	27 Jan 2023
DOIs	https://doi.org/10.1016/j.drudis.2023.103510
Publication status	Published - 1 Apr 2023

Keywords

FAIR data
FAIRification
Pharmaceutical R&D
cost-benefit
decision-making process

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.drudis.2023.103510Licence: CC BY

1-s2.0-S1359644623000260-mainFinal published version, 877 KBLicence: CC BY

https://linkinghub.elsevier.com/retrieve/pii/S1359644623000260

H2020 FAIRPlus Full Proposal
Goble, C. (PI) & Juty, N. (Researcher)
1/01/19 → 30/06/22
Project: Research
The UK Software Sustainability Institute: Phase 3
Jay, C. (PI), Goble, C. (CoI) & Sufi, S. A. (Researcher)
1/12/18 → 31/05/24
Project: Research

Cite this

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abstract = "The FAIR (findable, accessible, interoperable and reusable) principles are data management and stewardship guidelines aimed at increasing the effective use of scientific research data. Adherence to these principles in managing data assets in pharmaceutical research and development (R&D) offers pharmaceutical companies the potential to maximise the value of such assets, but the endeavour is costly and challenging. We describe the {\textquoteleft}FAIR-Decide{\textquoteright} framework, which aims to guide decision-making on the retrospective FAIRification of existing datasets by using business analysis techniques to estimate costs and expected benefits. This framework supports decision-making on FAIRification in the pharmaceutical R&D industry and can be integrated into a company{\textquoteright}s data management strategy.",

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A FAIR-Decide framework for pharmaceutical R&D: FAIR data cost–benefit assessment

Abstract

Keywords

UN SDGs

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Projects

H2020 FAIRPlus Full Proposal

The UK Software Sustainability Institute: Phase 3

Cite this