Are the FAIR Data Principles fair? [PDF]
International Journal of Digital Curation, 1970 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.
Alastair Dunning +2 more
doaj +13 more sources
Applying the FAIR Principles to computational workflows [PDF]
Scientific DataRecent 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.
Sean R. Wilkinson +22 more
doaj +7 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 +16 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 +4 more sources
FAIR m-BIDS: Advancing brain data utilization through multimodal and FAIR principles [PDF]
Scientific DataIn recent Datascience and AI studies, multimodality has become a key principle for achieving more accurate and dependable results. Managing multimodal data requires specialized platforms and structures to handle diverse data types from single subjects ...
Seyed Mohammad Mirhosseini +5 more
doaj +2 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
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 +2 more
exaly +9 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
FAIR principles to improve the impact on health research management outcomes [PDF]
Heliyon, 2023 Alicia Martínez-Garcia +2 more
exaly +2 more sources
Evaluating LC-HRMS metabolomics data processing software using FAIR principles for research software [PDF]
Metabolomics, 2023 Dominick Lemas +2 more
exaly +2 more sources