Results 11 to 20 of about 444,200 (304)
Research Ideas and Outcomes, 2022 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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Harnessing risk-informed data for disaster and climate resilience
Progress in Disaster Science, 2022 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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Licensing FAIR Data for Reuse [PDF]
Data Intelligence, 2020 The last letter of the FAIR acronym stands for Reusability. Data and metadata should be made available with a clear and accessible usage license. But, what are the choices? How can researchers share data and allow reusability? Are all the licenses available for sharing content suitable for data?
Ignasi Labastida, Thomas Margoni
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Scientific Data, 2023 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
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FAIR Data Point: A FAIR-Oriented Approach for Metadata Publication
Data Intelligence, 2023 ABSTRACTMetadata, data about other digital objects, play an important role in FAIR with a direct relation to all FAIR principles. In this paper we present and discuss the FAIR Data Point (FDP), a software architecture aiming to define a common approach to publish semantically-rich and machine-actionable metadata according to the FAIR principles.
Luiz Olavo Bonino da Silva Santos +3 more
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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 as transformative for research on well-being and disease.
Sabina Leonelli +4 more
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Leak Detection in Water Supply Network Using a Data-Driven Improved Graph Convolutional Network
IEEE Access, 2023 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
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FAIR Office Austria in a nutshell [PDF]
, 2021 <p><a href="https://fair-office.at/">FAIR Office Austria</a> was created as part of <a href="https://forschungsdaten.at/en/fair-data-austria/">FAIR Data Austria</a>, a project funded by the Austrian Federal Ministry of ...
Sanchez Solis, Barbara, Jaber, Samah
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, 2021 <p>According to the <a href="https://www.go-fair.org/fair-principles/">FAIR Principles</a>, research objects should be findable, accessible, interoperable and re-usable.
Sanchez Solis, Barbara, Jaber, Samah
core +1 more source
Analytical and Bioanalytical Chemistry, 2020 AbstractWouldn’t it be great, if experimental data were findable wherever they were? If experimental data were accessible‚ regardless of the storage place and format? If experimental data were interoperable independent of the author or its origin? If experimental data were reusable for further analysis without experimental repetition? The current state
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