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Geoscience data publication: Practices and perspectives on enabling the FAIR guiding principles [PDF]
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 +6 more sources
Data Science, 2022 Wilkinson et al. claimed in previous work that Adherence of a dataset to the FAIR Guiding Principles enables its automated discovery. We present here a formalization of that claim, stating that all things of class “adherence to the FAIR Guiding ...
Michel Dumontier
doaj +5 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.
Martin Boeckhout, Annelien Bredenoord
exaly +8 more sources
Addendum: The FAIR Guiding Principles for Scientific Data Management and Stewardship [PDF]
Scientific Data, 2019 Addendum to: Scientific Data https://doi.org/10.1038/sdata.2016.18, published online 15 March 2016 Since publication, the URL at which the FAIR principles ‘living document’ is hosted and maintained has changed from http://datafairport.org/fair ...
Jeffrey Grethe +2 more
exaly +17 more sources
Systematic review of the status of veterinary epidemiological research in two species regarding the FAIR guiding principles [PDF]
BMC Veterinary Research, 2021 Background The FAIR (Findable, Accessible, Interoperable, Reusable) principles were proposed in 2016 to set a path towards reusability of research datasets.
Anne Meyer +4 more
doaj +8 more sources
Towards FAIR principles for research software [PDF]
Data Science, 2020 The FAIR Guiding Principles, published in 2016, aim to improve the findability, accessibility, interoperability and reusability of digital research objects for both humans and machines.
Anna-Lena Lamprecht +17 more
doaj +3 more sources
Introducing the FAIR Principles for research software [PDF]
Scientific Data, 2022 Research software is a fundamental and vital part of research, yet significant challenges to discoverability, productivity, quality, reproducibility, and sustainability exist.
Michelle Barker +10 more
doaj +3 more sources
The FAIR Guiding Principles for Scientific Data Management and Stewardship [PDF]
Scientific Data, 2016 Abstract 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 ...
Jeffrey Grethe +2 more
exaly +17 more sources
Harnessing the power of FAIR data to advance sex/gender insights in psychotraumatology [PDF]
European Journal of PsychotraumatologyBackground: Sex and gender impact trauma exposure, as well as trauma-related outcomes and treatment efficacy. Still, knowledge about the extent of these sex/gender differences, as well as the distinct mechanisms that contribute towards these differences ...
Stephanie Haering, Mirjam Van Zuiden
doaj +2 more sources
JMIR Research Protocols, 2021 BackgroundData stewardship is an essential driver of research and clinical practice. Data collection, storage, access, sharing, and analytics are dependent on the proper and consistent use of data management principles among the investigators. Since 2016,
Inau, Esther Thea +3 more
doaj +3 more sources