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The FAIR Principles

, 2021
According to the FAIR Principles, research objects should be findable, accessible, interoperable and re-usable. These principles form the basis of a trusted environment where researchers, innovators, companies, and citizens can publish, find, and re-use each other's data and tools for research, innovation, and educational purposes.
Jaber, Samah, Sanchez Solis, Barbara
openaire   +3 more sources

Are the FAIR Data Principles fair?

International Journal of Digital Curation, 2018
This practice paper describes an ongoing research project to test the effectiveness and relevance of the FAIR Data Principles. Simultaneously, it will analyse how easy it is for data archives to adhere to the principles. The research took place from November 2016 to January 2017, and will be underpinned with feedback from the repositories.
Alastair Dunning, Madeleine de Smaele, Jasmin Böhmer   +2 more
openaire   +9 more sources

Applying the FAIR Principles to computational workflows. [PDF]

Sci Data
Recent trends within computational and data sciences show an increasing recognition and adoption of computational workflows as tools for productivity and reproducibility that also democratize access to platforms and processing know-how. As digital objects to be shared, discovered, and reused, computational workflows benefit from the FAIR principles ...
Wilkinson SR, Aloqalaa M, Belhajjame K, Crusoe MR, de Paula Kinoshita B, Gadelha L, Garijo D, Gustafsson OJR, Juty N, Kanwal S, Khan FZ, Köster J, Peters-von Gehlen K, Pouchard L, Rannow RK, Soiland-Reyes S, Soranzo N, Sufi S, Sun Z, Vilne B, Wouters MA, Yuen D, Goble C.   +22 more
europepmc   +8 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 ...
Sarah Stryeck, Mohamed S Yahia, Anne Cambon-Thomsen   +2 more
exaly   +9 more sources

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

Heliyon, 2023
Alicia Martínez-Garcia, Celia Alvarez-Romero, Máximo Bernabeu-Wittel   +2 more
exaly   +2 more sources

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

Metabolomics, 2023
Dominick Lemas, Hao Ye, William R Hogan   +2 more
exaly   +2 more sources

Experts Speak Forum: Implementation of the FAIR Principles in Biobanking Needs Fair Incentives [PDF]

Biopreservation and Biobanking
Fay Betsou, Zísis Kozlakidis, Shannon McCall   +2 more
exaly   +2 more sources

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
Annika Jacobsen, Ricardo de Miranda Azevedo, Nick S. Juty, Dominique Batista, Simon J. Coles, Ronald Cornet, Mélanie Courtot, Mercè Crosas, Michel Dumontier, Chris T. A. Evelo, Carole A. Goble, Giancarlo Guizzardi, Karsten Kryger Hansen, Ali Hasnain, Kristina M. Hettne, Jaap Heringa, Rob W. W. Hooft, Melanie Imming, Keith G. Jeffery, Rajaram Kaliyaperumal, Martijn G. Kersloot, Christine R. Kirkpatrick, Tobias Kuhn, Ignasi Labastida, Barbara Magagna, Peter McQuilton, Natalie Meyers, Annalisa Montesanti, Mirjam van Reisen, Philippe Rocca-Serra, Robert Pergl, Susanna-Assunta Sansone, Luiz Olavo Bonino da Silva Santos, Juliane Schneider, George O. Strawn, Mark Thompson 0002, Andra Waagmeester, Tobias Weigel, Mark D. Wilkinson, Egon L. Willighagen, Peter Wittenburg, Marco Roos, Barend Mons, Erik Schultes   +43 more
openaire   +11 more sources

AI Fairness: from Principles to Practice [PDF]

CoRR, 2022
21 pages, 5 ...
Arash Bateni, Matthew C. Chan, Ray Eitel-Porter   +2 more
openaire   +3 more sources

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