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Veille dédiée aux Sciences de l'Information et des Bibliothèques // Collecting and Sharing research papers in Library and Information science ISSN 2429-3938
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Étiquette : FAIR Data

EN

Putting FAIR principles in the context of research information: FAIRness for CRIS and CRIS for FAIRness

Posted on 8 novembre 2022 by Hans Dillaerts

Authors : Otmane Azeroual, Joachim Schöpfel, Janne Pölönen, Anastasija Nikiforova Digitization in the research domain refers to the increasing integration and a...

EN

FAIREST: A Framework for Assessing Research Repositories

Posted on 6 octobre 2022 by Hans Dillaerts

Authors : Mathieu d’Aquin, Fabian Kirstein, Daniela Oliveira, Sonja Schimmler, Sebastian Urbanek The open science movement has gained significant momentum...

EN

Reusable, FAIR Humanities Data : Creating Practical Guidance for Authors at Routledge Open Research

Posted on 23 septembre 2022 by Hans Dillaerts

Author : Rebecca Grant While stakeholders including funding agencies and academic publishers implement more stringent data sharing policies, challenges remain f...

EN

Increasing the Reuse of Data through FAIR-enabling the Certification of Trustworthy Digital Repositories

Posted on 22 septembre 2022 by Hans Dillaerts

Authors : Benjamin Jacob Mathers, Hervé L’Hours The long-term preservation of digital objects, and the means by which they can be reused, are addressed by both ...

EN

“Who Is the FAIRest of Them All?” Authors, Entities, and Journals Regarding FAIR Data Principles

Posted on 13 septembre 2022 by Hans Dillaerts

Author : Luis Corujo The perceived need to improve the infrastructure supporting the re-use of scholarly data since the second decade of the 21st century led to...

EN

Globally Accessible Distributed Data Sharing (GADDS): a decentralized FAIR platform to facilitate data sharing in the life sciences

Posted on 10 juin 2022 by Hans Dillaerts

Authors : Pavel Vazquez, Kayoko Hirayama-Shoji, Steffen Novik, Stefan Krauss, Simon Rayner Motivation Technical advances have revolutionized the life sciences a...

EN

Caching and Reproducibility: Making Data Science Experiments Faster and FAIRer

Posted on 23 avril 2022 by Hans Dillaerts

Authors : Moritz Schubotz, Ankit Satpute, André Greiner-Petter, Akiko Aizawa, Bela Gipp Small to medium-scale data science experiments often rely on research so...

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