Results 1 to 10 of about 2,276,525 (185)

FAIR Data Cube, a FAIR data infrastructure for integrated multi-omics data analysis [PDF]

Journal of Biomedical Semantics, 2023
Motivation We are witnessing an enormous growth in the amount of molecular profiling (-omics) data. The integration of multi-omics data is challenging. Moreover, human multi-omics data may be privacy-sensitive and can be misused to de-anonymize and (re ...
Xiaofeng Liao, Thomas H.A. Ederveen, Anna Niehues, Casper de Visser, Junda Huang, Firdaws Badmus, Cenna Doornbos, Yuliia Orlova, Purva Kulkarni, K. Joeri van der Velde, Morris A. Swertz, Martin Brandt, Alain J. van Gool, Peter A. C. ’t Hoen   +13 more
doaj   +5 more sources

Are the FAIR Data Principles fair?

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, Madeleine de Smaele, Jasmin Böhmer   +2 more
doaj   +5 more sources

Towards FAIR Data Access [PDF]

Research Ideas and Outcomes, 2022
Background In the past decade many different national, EU and global projects have been successful in raising awareness about Open Science and the importance of making data findable and accessible such as stated in the FAIR principles (Wilkinson et al ...
Daan Broeder, Willem Elbers, Michal Gawor, Cesare Concordia, Nicolas Larrousse, Dieter Van Uytvanck   +5 more
doaj   +5 more sources

From FAIR data to fair data use: Methodological data fairness in health-related social media research [PDF]

Big Data & Society, 2021
The paper problematises the reliability and ethics of using social media data, such as sourced from Twitter or Instagram, to carry out health-related research. As in many other domains, the opportunity to mine social media for information has been hailed
Sabina Leonelli, Rebecca Lovell, Benedict W Wheeler, Lora Fleming, Hywel Williams   +4 more
doaj   +3 more sources

Ocean FAIR Data Services [PDF]

Frontiers in Marine Science, 2019
Well-founded data management systems are of vital importance for ocean observing systems as they ensure that essential data are not only collected but also retained and made accessible for analysis and application by current and future users.
Toste Tanhua, Sylvie Pouliquen, Jessica Hausman, Kevin O’Brien, Pip Bricher, Taco de Bruin, Justin J. H. Buck, Eugene F. Burger, Thierry Carval, Kenneth S. Casey, Steve Diggs, Alessandra Giorgetti, Helen Glaves, Valerie Harscoat, Danie Kinkade, Jose H. Muelbert, Antonio Novellino, Benjamin Pfeil, Peter L. Pulsifer, Anton Van de Putte, Erin Robinson, Dick Schaap, Alexander Smirnov, Neville Smith, Derrick Snowden, Tobias Spears, Shelley Stall, Marten Tacoma, Peter Thijsse, Stein Tronstad, Thomas Vandenberghe, Micah Wengren, Lesley Wyborn, Zhiming Zhao   +33 more
doaj   +8 more sources

The FAIR data point populator: collaborative FAIRification and population of FAIR data points [PDF]

BMC Medical Informatics and Decision Making
Background Use of the FAIR principles (Findable, Accessible, Interoperable and Reusable) allows the rapidly growing number of biomedical datasets to be optimally (re)used. An important aspect of the FAIR principles is metadata.
Daphne Wijnbergen, Rajaram Kaliyaperumal, Kees Burger, Luiz Olavo Bonino da Silva Santos, Barend Mons, Marco Roos, Eleni Mina   +6 more
doaj   +2 more sources

Emerging FAIR Ecosystem(s): A Practical Perspective [PDF]

Research Ideas and Outcomes, 2022
There is broad acceptance that FAIR data (Wilkinson et al. 2016) reuse is desirable, with considerable interest and energy being devoted to its realization, but many questions remain on the part of prospective implementers.
Erik Schultes, Arofan Gregory, Barbara Magagna   +2 more
doaj   +3 more sources

FIPs and Practice [PDF]

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, Erik Schultes, Marek Suchánek, Tobias Kuhn   +3 more
doaj   +3 more sources

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, Barbara Magagna, Tobias Kuhn, Marek Suchánek, Luiz Bonino da Silva Santos, Barend Mons   +5 more
doaj   +3 more sources

Community-driven governance of FAIRness assessment: an open issue, an open discussion [version 2; peer review: 2 approved, 1 approved with reservations]

Open Research Europe, 2023
Although FAIR Research Data Principles are targeted at and implemented by different communities, research disciplines, and research stakeholders (data stewards, curators, etc.), there is no conclusive way to determine the level of FAIRness intended or ...
Mark D. Wilkinson, Richard Dennis, Susanna-Assunta Sansone, Mari Kleemola, David Hecker, Eva Méndez, Anastasija Nikiforova, Carlo Lacagnina, Leyla Jael Castro, Romain David   +9 more
doaj   +1 more source