Results 1 to 10 of about 444,200 (304)
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 +13 more
doaj +8 more sources
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 +8 more sources
The FAIR data point populator: collaborative FAIRification and population of FAIR data points. [PDF]
BMC Med Inform Decis MakAbstract 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.
Wijnbergen D +6 more
europepmc +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 +5 more
doaj +5 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 +2 more
doaj +3 more sources
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
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 +5 more
doaj +3 more sources
Fairness in Data Wrangling [PDF]
2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI), 2020 At the core of many data analysis processes lies the challenge of properly gathering and transforming data. This problem is known as data wrangling, and it can become even more challenging if the data sources that need to be transformed are heterogeneous and autonomous, i.e., have different origins, and if the output is meant to be used as a training ...
Lacramioara Mazilu +3 more
openaire +1 more source
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 +9 more
doaj +1 more source
Connecting Repositories to one Integrated Domain [PDF]
Research Ideas and Outcomes, 2022 Information is the new commodity in the global economy and trustworthy digital repositories will be the key pillars within this new ecosystem. The value of this digital information will only be realised if these repositories can be interacted with in a ...
Peter Wittenburg +2 more
doaj +3 more sources