Projects per year
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
|Early online date||15 Mar 2016|
|Publication status||Published - 2016|
FingerprintDive into the research topics of 'The FAIR Guiding Principles for scientific data management and stewardship'. Together they form a unique fingerprint.
- 1 Finished
Open-PHACTS An open integrated and sustainable chemistry, biology and pharmacology knowledge resource for drug discovery
Goble, C., Pettifer, S., Stevens, R., Gray, A., Soiland-Reyes, S. & Brenninkmeijer, C.
1/03/11 → 28/02/14
Enhancing RDM in Galaxy by integrating RO-CrateDe Geest, P., Coppens, F., Soiland-reyes, S., Eguinoa, I. & Leo, S., 12 Oct 2022, In: Research Ideas and Outcomes. 8, e95164.
Research output: Contribution to journal › Conference article › peer-reviewOpen Access
Selection of data sets for FAIRification in drug discovery and development: Which, why, and how?Alharbi, E., Gadiya, Y., Henderson, D., Zaliani, A., Delfin-rossaro, A., Cambon-thomsen, A., Kohler, M., Witt, G., Welter, D., Juty, N., Jay, C., Engkvist, O., Goble, C., Reilly, D. S., Satagopam, V., Ioannidis, V., Gu, W. & Gribbon, P., 1 Aug 2022, In: Drug discovery today. 27, 8, p. 2080-2085 6 p.
Research output: Contribution to journal › Review article › peer-reviewOpen Access
FAIR Computational WorkflowsGoble, C., Cohen-Boulakia, S., Soiland-Reyes, S., Garijo, D., Gil, Y., Crusoe, M. R., Peters, K. & Schober, D., 1 Nov 2019, In: Data Intelligence. 2, 1, p. 108–121 14 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile555 Downloads (Pure)