« For life science infrastructures, sensitive data generate an additional layer of complexity. Cross-domain categorisation and discovery of digital resources related to sensitive data presents major interoperability challenges. To support this FAIRification process, a toolbox demonstrator aiming at support for discovery of digital objects related to sensitive data (e.g., regulations, guidelines,…
« The European Research Data Landscape study looks at researchers’ practices in producing, reusing and depositing data, and in making it FAIR, as well as examining the research data repository landscape. During the study, two surveys were carried out – one of researchers (over 15,000 responses), and the other of research…
« Digitization in the research domain refers to the increasing integration and analysis of research information in the process of research data management. However, it is not clear whether it is used and, more importantly, whether the data are of sufficient quality, and value and knowledge could be extracted from them.…
« Research software is a fundamental and vital part of research, yet significant challenges to discoverability, productivity, quality, reproducibility, and sustainability exist. Improving the practice of scholarship is a common goal of the open science, open source, and FAIR (Findable, Accessible, Interoperable and Reusable) communities and research software is now being…
« (…) In this paper, we aim to analyze the available online tools and checklists for data FAIRness evaluation and to provide tool comparison based on multiple features. Taking into account this analysis and tools advantages and disadvantages, we provide recommendations about the tools usage. A FAIRness practical evaluation is also…
« Nowadays, the FAIR Principles guide data policy actions and professional practices in the public and private sectors. However, despite such global endorsements, the FAIR Principles are aspirational, remaining elusive at best, and intimidating at worst. To address the lack of practical guidance, and help with capability gaps, we developed the…
« In this paper, the platform CALLISTO (CALmip Launches an Interface for a Semantic Toolbox Online, https://callisto.calmip.univ-toulouse.fr/) is presented, aiming at open science construction around semantic description of scientific data, software and papers. This work aims tackling the needs for a fine-grained description of multi-disciplinary scientific collaborations, from data creation to…
« 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. (…)
In this article, we introduce the FAIREST principles, a framework inspired by the well-known FAIR principles, but…
« FAIR handling of scientific data plays a significant role in current efforts towards a more sustainable research culture and serves as a prerequisite for the fourth scientific paradigm, that is, data-driven research. To enforce the FAIR principles by ensuring the reproducibility of scientific data and tracking their provenance comprehensibly, the…
« While stakeholders including funding agencies and academic publishers implement more stringent data sharing policies, challenges remain for researchers in the humanities who are increasingly prompted to share their research data. This paper outlines some key challenges of research data sharing in the humanities, and identifies existing work which has been…
