« The FAIR principles provide guidance for improving the findability, accessibility, interoperability and reuse of research data and other digital objects. The Agricultural Research Federation (AgReFed) has developed a FAIR implementation…
« The FAIR for Research Software (FAIR4RS) Principles aim to promote and encourage the findability, accessibility, interoperability, and reusability (FAIR) of research software. The FAIR4RS Principles were
« This paper explores the landscape of research data in the humanities in the European context, delving into their diversity and the challenges of defining and sharing them. It investigates three…
« Nous vous présentions précédemment les principes FAIR pour les logiciels de recherche (FAIR for Research Software – FAIR4RS – principles). Mais pour évaluer le degré d’implémentation des…
« Ensuring the reproducibility of research is a multi-stakeholder effort that comes with challenges and opportunities for individual researchers and research communities, librarians, publishers, funders and service providers. These emerge at…
« (…) Le groupe d’experts2 du Comité directeur de l’EOSC (EOSC-SB) a entamé…
« The main goals and challenges for the life science communities in the Open Science framework are to increase reuse and sustainability of data resources, software tools, and workflows, especially in…
« (…) This paper describes FAIR EVA, a new tool developed within the European Open Science Cloud context that is oriented to particular data management systems like open repositories, which can…
« Cette fiche pratique à destination des établissements et organismes d’enseignement supérieur et de recherche pour objectif de faciliter l’accompagnement des chercheurs dans leur travail de documentation des données de la…
« (…) This paper discusses methods for the automation of DMP assessment. It goes beyond generating human-readable reports. It explores how the information contained in maDMPs can be used to provide…
