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
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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
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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
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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
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FAIR principles to improve the impact on health research management outcomes [PDF]
Heliyon, 2023 Alicia Martínez-García +2 more
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Evaluating LC-HRMS metabolomics data processing software using FAIR principles for research software [PDF]
Metabolomics, 2023 Dominick Lemas, Hao Ye, William Hogan
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Research Ideas and Outcomes, 2022 There is no doubt that FAIR Data and Services (GO FAIR Foundation 2019b) are needed to enable data intensive research and innovation. While the FAIR Guiding Principles (Wilkinson et al.
Barbara Magagna +3 more
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An Investigation on University Libraries' Service in Promoting the Implementation of FAIR Data Management Principles [PDF]
Nongye tushu qingbao xuebao, 2022 [Purpose/Significance] The FAIR principles, as a guideline for research data management, has been widely recognized and actively applied in the field of scientific research since it was proposed.
XING Wenming, LIU Wo
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Research Progress and Implementation of FAIR Principles for Scientific Data Management [PDF]
Nongye tushu qingbao xuebao, 2022 [Purpose/Significance] With the development of data-intensive scientific research paradigm, the effective discovery and reuse of scientific data is of great significance to the sharing of research results.
CHEN Shuxian, LIU Guifeng, LIU Qiong
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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 +5 more
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