FAIREST: A Framework for Assessing Research Repositories

« The open science movement has gained significant momentum within the last few years. This comes along with the need to store and share research artefacts, such as publications and research data. For this purpose, research repositories need to be established. A variety of solutions exist for implementing such repositories, covering diverse features, ranging from custom depositing workflows to social media-like functions. In this article, we introduce the FAIREST principles, a framework inspired by the wellknown FAIR principles, but designed to provide a set of metrics for assessing and selecting solutions for creating digital repositories for research artefacts. (…) »

source > hal.science, Mathieu d'Aquin, Fabian Kirstein, Daniela Oliveira, Sonja Schimm, Sebastian Urbanek. FAIREST: A Framework for Assessing Research Repositories. Journal of Data Intelligence, In press, ⟨10.1162/dint_a_00159⟩. ⟨hal-03921682⟩