Caching and Reproducibility: Making Data Science Experiments Faster and FAIRer
Authors : Moritz Schubotz, Ankit Satpute, André Greiner-Petter, Akiko Aizawa, Bela Gipp Small to medium-scale data science experiments often rely on research so...
Étiquette : FAIR Data
The Data Life Aquatic: Oceanographers’ Experience with Interoperability and Re-usability: Oceanographers’ Experience with Interoperability and Re-usability
Authors : Bradley Wade Bishop, Carolyn F Hank, Joel T Webster This paper assesses data consumers’ perspectives on the interoperable and re-usable aspects of the...
FAIR Forever? Accountabilities and Responsibilities in the Preservation of Research Data
Author : Amy Currie, William Kilbride Digital preservation is a fast-moving and growing community of practice of ubiquitous relevance, but in which capability i...
Do I-PASS for FAIR? Measuring the FAIR-ness of Research Organizations
Authors : Jacquelijn Ringersma, Margriet Miedema Given the increased use of the FAIR acronym as adjective for other contexts than data or data sets, the Dutch N...
From Conceptualization to Implementation: FAIR Assessment of Research Data Objects
Authors: Anusuriya Devaraju, Mustapha Mokrane, Linas Cepinskas, Robert Huber, Patricia Herterich, Jerry de Vries, Vesa Akerman, Hervé L’Hours, Joy Davidson, Mic...
Open Science and the Hype Cycle
Author : George Strawn The introduction of a new technology or innovation is often accompanied by “ups and downs” in its fortunes. Gartner Inc. defined a so-cal...
Open Data Challenges in Climate Science
Authors : Francesca Eggleton, Kate Winfiel The purpose of this paper is to explore challenges in open climate data experienced by data scientists at the Centre ...