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 Principles
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...
Repository Approaches to Improving the Quality of Shared Data and Code
Authors : Ana Trisovic, Katherine Mika, Ceilyn Boyd, Sebastian Feger, Mercè Crosas Sharing data and code for reuse has become increasingly important in scientif...
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 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 ...
Towards FAIR protocols and workflows: the OpenPREDICT use case
Authors : Remzi Celebi, Joao Rebelo Moreira, Ahmed A. Hassan, Sandeep Ayyar, Lars Ridder, Tobias Kuhn, Michel Dumontier It is essential for the advancement of s...