Implementation and relevance of FAIR data principles in biopharmaceutical R&D

Drug Discov Today. 2019 Apr;24(4):933-938. doi: 10.1016/j.drudis.2019.01.008. Epub 2019 Jan 25.

Abstract

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.

MeSH terms

  • Biological Products
  • Biomedical Research
  • Data Management*
  • Drug Industry*

Substances

  • Biological Products