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Lookup NU author(s): Victoria HedleyORCiD
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Biopharmaceutical industry R&D, and indeed other life sciences R&D such as biomedical, environmental, agricultural and food production, is becoming increasingly data-driven and can significantly improve its efficiency and effectiveness by implementing the FAIR (findable, accessible, interoperable, reusable) guiding principles for scientific data management and stewardship. By so doing, the plethora of new and powerful analytical tools such as artificial intelligence and machine learning will be able, automatically and at scale, to access the data from which they learn, and on which they thrive. FAIR is a fundamental enabler for digital transformation
Author(s): Wise J, Grebe de Barron A, Splendiani A, Balali-Mood B, Vasant D, Little E, Gaspare M, Harrow I, Smith I, Taubert J, van Bochove K, Romacker M, Walgemoed R, Jiminez R, Winnenburg R, Plasterer T, Gupta V, Hedley V
Publication type: Article
Publication status: Published
Journal: Drug Discovery Today
Year: 2019
Volume: 24
Issue: 4
Pages: 933-938
Print publication date: 01/04/2019
Online publication date: 01/04/2019
Acceptance date: 01/12/2018
ISSN (print): 1359-6446
ISSN (electronic): 1878-5832
Publisher: Elsevier
URL: https://doi.org/10.1016/j.drudis.2019.01.008
DOI: 10.1016/j.drudis.2019.01.008
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