« We need open infrastructures, RDM services and tools, and standards to open data in a sustainable way. (…)
With this theme in the Dataverse Community meeting 2023 we would like to emphasize the issue of the sustainability of our services and infrastructures, reflecting on the impact they have on…
« L’objectif de cette présentation est de proposer des pistes pour rendre un projet de bioinformatique reproductible. (…) »
« Lorsque l’on souhaite utiliser des données de recherche, il est crucial de connaître leur contexte de production, d’en comprendre leur organisation, leur utilité, voire les contrôles qualité ayant été mis en œuvre pour en assurer l’intégrité.
Lors du dépôt des données dans un entrepôt, les métadonnées permettent déjà d’offrir…
« The FAIR principles were created with the goal of enhancing the reusability of research data and to give guidance on how to make data Findable, Accessible, Interoperable and Reusable. In this article we explore the role of institutional research data policies in enabling and encouraging researchers at their institutions to…
« This document summarizes the status of data preservation in high energy physics. The paradigms and the methodological advances are discussed from a perspective of more than ten years of experience with a structured effort at international level. The status and the scientific return related to the preservation of data accumulated…
« Clinical trials, epidemiological studies, clinical registries, and other prospective research projects, together with patient care services, are main sources of data in the medical research domain. They serve often as a basis for secondary research in evidence-based medicine, prediction models for disease, and its progression. This data are often neither…
« (…) The Regulation is set up under the Open Data Directive, which defines six categories of such high-value datasets: geospatial, earth observation and environment, meteorological, statistics, companies and mobility. (…) »
« In recent years, digital object management practices to support findability, accessibility, interoperability, and reusability (FAIR) have begun to be adopted across a number of data-intensive scientific disciplines. These digital objects include datasets, AI models, software, notebooks, workflows, documentation, etc. With the collective dataset at the Large Hadron Collider scheduled to…
« Recent international trends demonstrate multilevel efforts to ‘open’ science across its whole ecosystem and lifecycle – from capturing research data through to publishing results. In social sciences, the publication process is already largely ‘open access’ or transitioning toward it. However, opening research data raises specific issues and concerns for the…
« The FAIR principles (Findability, Accessibility, Interoperability, and Reusability) constitute a guide whose aim is to improve the management of digital scholarly resources. Nevertheless, the literature regarding data services other than data repositories is still scarce.OpenEdition is a digital infrastructure for open scholarly communication in the Social Sciences and Humanities (SSH)…
