Results 11 to 20 of about 1,341,301 (290)

FAIR Principles: Interpretations and Implementation Considerations [PDF]

Data Intelligence, 2020
The FAIR principles have been widely cited, endorsed and adopted by a broad range of stakeholders since their publication in 2016. By intention, the 15 FAIR guiding principles do not dictate specific technological implementations, but provide guidance for improving Findability, Accessibility, Interoperability and Reusability of digital resources. This
Jacobsen, A., Miranda Azevedo, R. de, Juty, N., Batista, D., Coles, S., Cornet, R., Courtot, M., Crosas, M., Dumontier, M., Evelo, C.T., Goble, C., Guizzardi, G., Kryger Hansen, K., Hasnain, A., Hettne, K., Heringa, J., Hooft, R.W.W., Imming, M., Jeffery, K.G., Kaliyaperumal, R., Kersloot, M.G., Kirkpatrick, C.R., Kuhn, T., Labastida, I., Magagna, B., McQuilton, P., Meyers, N., Montesanti, A., Reisen, M.E.H. van, Rocca-Serra, P., Pergl, R., Sansone, S., Olavo Bonino da Silva Santos, L., Schneider, J., Strawn, G., Thompson, M., Waagmeester, A., Weigel, T., Wilkinson, M.D., Willighagen, E., Wittenburg, P., Roos, M., Mons, B., Schultes, E.   +43 more
openaire   +12 more sources

Geoscience data publication: Practices and perspectives on enabling the FAIR guiding principles

Geoscience Data Journal, 2022
Introduced in 2016, the FAIR Guiding Principles endeavour to significantly improve the process of today's data‐driven research. The Principles present a concise set of fundamental concepts that can facilitate the findability, accessibility ...
Danie Kinkade, Adam Shepherd
doaj   +2 more sources

The FAIR guiding principles for data stewardship: fair enough? [PDF]

European Journal of Human Genetics, 2018
The FAIR guiding principles for research data stewardship (findability, accessibility, interoperability, and reusability) look set to become a cornerstone of research in the life sciences. A critical appraisal of these principles in light of ongoing discussions and developments about data sharing is in order.
Martin Boeckhout, Gerhard A. Zielhuis, Annelien L. Bredenoord   +2 more
openaire   +6 more sources

FAIRness Literacy: The Achilles’ Heel of Applying FAIR Principles

Data Science Journal, 2020
The SHARC Interest Group of the Research Data Alliance was established to improve research crediting and rewarding mechanisms for scientists who wish to organise their data (and material resources) for community sharing. This requires that data are findable and accessible on the Web, and comply with shared standards making them interoperable and ...
Romain David, Laurence Mabile, Alison Specht, Sarah Stryeck, Mogens Thomsen, Mohamed Yahia, Clement Jonquet, Laurent Dollé, Daniel Jacob, Daniele Bailo, Elena Bravo, Sophie Gachet, Hannah Gunderman, Jean-Eudes Hollebecq, Vassilios Ioannidis, Yvan Le Bras, Emilie Lerigoleur, Anne Cambon-Thomsen, The Research Data Alliance – SHAring Reward and Credit (SHARC) Interest Group   +18 more
openaire   +8 more sources

FAIR principles to improve the impact on health research management outcomes. [PDF]

Heliyon, 2023
Martínez-García A, Alvarez-Romero C, Román-Villarán E, Bernabeu-Wittel M, Luis Parra-Calderón C.   +4 more
europepmc   +2 more sources

The Comparative Anatomy of Nanopublications and FAIR Digital Objects [PDF]

Research Ideas and Outcomes, 2022
Beginning in 1995, early Internet pioneers proposed Digital Objects as encapsulations of data and metadata made accessible through persistent identifier resolution services (Kahn and Wilensky 2006).
Erik Schultes, Barbara Magagna, Tobias Kuhn, Marek Suchánek, Luiz Bonino da Silva Santos, Barend Mons   +5 more
doaj   +3 more sources

Evaluating LC-HRMS metabolomics data processing software using FAIR principles for research software. [PDF]

Metabolomics, 2023
Du X, Dastmalchi F, Ye H, Garrett TJ, Diller MA, Liu M, Hogan WR, Brochhausen M, Lemas DJ.   +8 more
europepmc   +2 more sources

Features of a FAIR vocabulary

Journal of Biomedical Semantics, 2023
Background The Findable, Accessible, Interoperable and Reusable(FAIR) Principles explicitly require the use of FAIR vocabularies, but what precisely constitutes a FAIR vocabulary remains unclear.
Fuqi Xu, Nick Juty, Carole Goble, Simon Jupp, Helen Parkinson, Mélanie Courtot   +5 more
doaj   +1 more source

MDA Framework for FAIR Principles [PDF]

, 2022
This paper shows that the MDA framework can be helpful for designing and implementing FAIR principles. We reached this conclusion based on a focus group interview with six experts, during which we focused on the three MDA components: mechanics, dynamics and aesthetics.
Zahra, Mohammadzadeh, Hamid Reza, Saeidnia, Marcin, Kozak, Ali, Ghorbi   +3 more
openaire   +2 more sources

Supporting FAIR Data Management Planning Across Different Disciplines at the University of Sheffield

Data Science Journal, 2023
Recognition is growing sector-wide of the importance of FAIR data management planning in facilitating the sharing and reuse of research outputs.
Jenni Adams, Bev Jones, Helen Foster
doaj   +1 more source