Le plan de gestion de données du projet de recherche (PGD) | Bibliothèque Diderot de Lyon

Trump's sanctions on ICC prosecutor have halted tribunal's work

Nearly three months ago, U.S. President Donald Trump slapped sanctions on the International Criminal Court's chief prosecutor, Karim Khan. He has lost access to his email and his bank accounts have been frozen. American staffers at The Hague-based court also have been told that if they travel to the U.S. they risk arrest. In addition, some nongovernmental organizations have stopped working with the ICC. Rights groups say these problems will prevent victims of war crimes from getting justice.

Open and FAIR in NES

When: 22-23 MayLocation: Social Impact Factory Vredenburg, Vredenburg 40, 3511 BD, Utrecht (get directions) Register here to attend Are you interested in the topics of open research and FAIR data? …

Measuring the Value of (Research) Data

Data is a unique economic asset and information resource with special economic characteristics. Acrossvarious industries, firms are nowadays collecting and using data to optimize their processes, createnew value propositions for their customers, or sell and exchange their data with external partners. Thiswhitepaper outlines how firms can measure the value of their data and data-related activities. Three main approaches exist to measure the business value of data. First, the data value can bedetermined by measuring its market prices, costs, and future income prospects (market-basedapproach). Second, the data’s estimated utility in economic and public benefits may be used to quantifyits value (economic approach). Third, various data- and context-related parameters may be used toestimate the value of data in a specific setting (dimensional approach). We further find that data that is explicitly used for research purposes differs in these valuationapproaches. Here, the value of data is often determined by its academic impact, reuse, and contributionto scientific breakthroughs. The FAIR principles also provide a framework for enhancing the utility andvalue of research data in this setting, guiding the assessment based on findability, accessibility,interoperability, and reusability of the data. Nevertheless, the lack of a common conceptual framework and the difficulty of predicting data's futureapplications and relevance make the value measurement of data still challenging in practice.

CODE beyond FAIR

FAIR principles are a set of guidelines aiming at simplifying the distribution of scientific data to enhance reuse and reproducibility. This article focuses on research software, which significantly differs from data through its living nature, and its relationship with free and open-source software. Based on the second French plan for Open Science, we provide a tiered roadmap to improve the state of research software, which is inclusive to all stakeholders in the research software ecosystem: scientific staff, but also institutions, funders, libraries and publishers.

Publier, partager, réutiliser les données de la recherche : les d

Christine Kosmopoulos, Joachim Schöpfel -

Advancing Research Sharing Through DataCite’s Global Access Fund: INFLIBNET Centre, India - DataCite

Indian researchers and institutions are increasingly embracing Open Science, recognizing its value in enhancing collaboration and reproducibility. However, many still hesitate to share their work openly due to challenges such as limited awareness of open research benefits, insufficient institutional support, and inadequate infrastructure. Key barriers include the absence of Research Data Management policies, insufficient training on data sharing and metadata management, and a lack of robust repositories. Without clear guidelines and technological support, researchers struggle to manage and disseminate their data effectively, slowing the broader adoption of Open Science in India.