Results 41 to 50 of about 3,690,597 (318)
, 2021 According to the FAIR Principles, research objects should be findable, accessible, interoperable and re-usable. These principles form the basis of a trusted environment where researchers, innovators, companies, and citizens can publish, find, and re-use each other's data and tools for research, innovation, and educational purposes.
Jaber, Samah, Sanchez Solis, Barbara
openaire +2 more sources
Aligning restricted access data with FAIR: a systematic review [PDF]
PeerJ Computer Science, 2022 Understanding the complexity of restricted research data is vitally important in the current new era of Open Science. While the FAIR Guiding Principles have been introduced to help researchers to make data Findable, Accessible, Interoperable and Reusable,
Margherita Martorana +3 more
doaj +2 more sources
Information, 2021 The 2018 paper titled “Common Patterns in Revolutionary Infrastructures and Data” has been cited frequently, since we compared the current discussions about research data management with the developments of large infrastructures in the past believing ...
Peter Wittenburg, George Strawn
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Towards FAIR Principles for Open Hardware [PDF]
arXiv.org, 2021 The lack of scientific openness is identified as one of the key challenges of computational reproducibility. In addition to Open Data, Free and Open-source Software (FOSS) and Open Hardware (OH) can address this challenge by introducing open policies ...
Nadica Miljkovi'c +2 more
semanticscholar +1 more source
The FAIR guiding principles for data stewardship: fair enough? [PDF]
European Journal of Human Genetics, 2018 The FAIR guiding principles for research data stewardship (findability, accessibility, interoperability, and reusability) look set to become a cornerstone of research in the life sciences. A critical appraisal of these principles in light of ongoing discussions and developments about data sharing is in order.
Martin Boeckhout +2 more
openaire +4 more sources
ISPRS Int. J. Geo Inf., 2021 The success of disaster management efforts demands meaningful integration of data that is geographically dispersed and owned by stakeholders in various sectors.
A. Mazimwe, I. Hammouda, A. Gidudu
semanticscholar +1 more source
SPOT: Open Source framework for scientific data repository and interactive visualization [PDF]
, 2018 SPOT is an open source and free visual data analytics tool for multi-dimensional data-sets. Its web-based interface allows a quick analysis of complex data interactively. The operations on data such as aggregation and filtering are implemented.
Attema, Jisk +5 more
core +2 more sources
FAIR Principles and Big Data: A Software Reference Architecture for Open Science
International Conference on Enterprise Information Systems, 2022 : Open Science pursues the assurance of free availability and usability of every digital outcome originated from scientific research, such as scientific publications, data, and methodologies.
J. P. C. Castro +3 more
semanticscholar +1 more source
Supporting FAIR Data Principles with Fedora
Liber Quarterly: The Journal of European Research Libraries, 2018 Making data findable, accessible, interoperable, and re-usable is an important but challenging goal. From an infrastructure perspective, repository technologies play a key role in supporting FAIR data principles.
David Wilcox
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Fair Data: History and Present Context
Central European Journal of Educational Research, 2022 In this paper, we discuss FAIR Data, why it exists, and who it applies to. We further review the principles of FAIR data and how they are managed in research centers.
Ana Carballo-Garcia +1 more
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