In 2016, FORCE11 – a group of researchers as well as employees of libraries, archives, publishers and funders – established principles for the handling of research data. The so-called FAIR principles comprise four goals: the findability, accessibility, interoperability and re-usability of data. With the achievement of these goals, the sustainable re-usability of research data is meant to be guaranteed.
Biernacka, Katarzyna, Bierwirth, Maik, Buchholz, Petra, Dolzycka, Dominika, Helbig, Kerstin, Neumann, Janna, … Wuttke, Ulrike. (2020). Train-the-Trainer Concept on Research Data Management (Version 3.0). Zenodo. http://doi.org/10.5281/zenodo.4071471 p. 36, Creative Commons Attribution 4.0 International
Duration: 4:54 mins
Content: In this video we take a look at FAIR data and the meaning of the individual FAIR principles (findable, accessible, interoperable and reusable).
It also covers how (trusted) data repositories are a key infrastructure that enables FAIR data.
Ghent University Data Stewards (2020). Knowledge clip: FAIR data principles. Available at: https://youtu.be/2uZxFu9SFi8
Licence: CC BY 4.0
- Comment in Nature regarding FAIR Principles
Wilkinson, M. D. et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data 3:160018
- FAIR-Principles and the European Commission
European Commission. Action Plan for FAIR data recommendations.
The EC expert group on FAIR data
EC/H2020 – Guidelines on FAIR Data Management in Horizon 2020
- GO FAIR Initiative
GO FAIR is a bottom-up, stakeholder-driven and self-governed initiative that aims to implement the FAIR data principles, making data Findable, Accessible, Interoperable and Reusable (FAIR). It offers an open and inclusive ecosystem for individuals, institutions and organisations working together through Implementation Networks (INs). The INs are active in three activity pillars: GO CHANGE, GO TRAIN and GO BUILD.
- The GO FAIR Austria office, which is part of the global GO FAIR initiative, networks researchers and service institutions to implement the FAIR principles.
- Training material for “FAIR” in the train-the-trainer program for Research Data Management
Biernacka, Katarzyna, Bierwirth, Maik, Buchholz, Petra, Dolzycka, Dominika, Helbig, Kerstin, Neumann, Janna, … Wuttke, Ulrike. (2020). Train-the-Trainer Concept on Research Data Management (Version 3.0). Zenodo. http://doi.org/10.5281/zenodo.4071471 (p. 38)
A network of Open Access repositories, archives and journals that support Open Access policies. The OpenAIRE Consortium is a Horizon 2020 (FP8) project, aimed to support the implementation of the EC and ERC Open Access policies.
- FAIR-Principles and the Committee on Data for Science and Technology (Codata)
The Committee on Data for Science and Technology (CODATA) is a Paris-based organization with the aim of improving the quality, reliability and accessibility of interesting data from all fields of science and technology.
Hodson, S. (2018). Making FAIR data a reality… and the challenges of interoperability and reusability. Open Science Conference 2018.
FAIR Data Austria (2021). “FAIR Principles”. In: Research Data Management Open Educational Resources Collection. (https://fair-office.at/index.php/fair-prinzipien/?lang=en).
License: CC BY 4.0 unless otherwise stated.