Results 1 to 10 of about 24,500,580 (267)
FAIR Data Cube, a FAIR data infrastructure for integrated multi-omics data analysis [PDF]
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
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Emerging FAIR Ecosystem(s): A Practical Perspective [PDF]
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
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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The Comparative Anatomy of Nanopublications and FAIR Digital Objects [PDF]
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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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]
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
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Harnessing risk-informed data for disaster and climate resilience
Disaster and climate risks result from a complex interaction between hazard, exposure, and vulnerability in a broad context defined by socioeconomic, political, and ecological factors. To better understand the risk and manage it more effectively, we need
Bapon Fakhruddin +5 more
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In Germany there is much agreement on a necessary step towards convergence in the domain of digital entities across sectors given the increasing number of emerging data spaces in research, industry and public services.
Peter Wittenburg +3 more
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Findable, Accessible, Interoperable, and Reusable (FAIR) guiding principles tailored for research software have been proposed by the FAIR for Research Software (FAIR4RS) Working Group.
Bhavesh Patel +3 more
doaj +1 more source
Leak Detection in Water Supply Network Using a Data-Driven Improved Graph Convolutional Network
Due to the complex correlation within data collection, it is a challenging task to detect leakage in the water supply network. The Graph Convolutional Network (GCN) has recently gained significant attention in correlation research. However, most existing
Suisheng Chen +4 more
doaj +1 more source

