2025/06/17 by Eric Jeangirard, Jeangirard, Eric · 2 voices
Computer Science · #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Library Science and Information Systems #Research Data Management Practices #Semantic Web and Ontologies #cs.DL
paper · pdf · doi:10.48550/arxiv.2506.14430
openalex publication_date 2025/06/17 · arxiv published 2025/06/17 · arxiv updated 2025/06/17 · openalex created_date 2025/09/30 · openalex updated_date 2026/07/28
The transition to Open Science necessitates robust and reliable metadata. While national initiatives, such as the French Open Science Monitor, aim to track this evolution using open data, reliance on proprietary databases persists in many places. Open platforms like OpenAlex still require significant human intervention for data accuracy. This paper introduces Works-magnet, a project by the French Ministry of Higher Education and Research (MESR) Data Science & Engineering Team. Works-magnet is designed to accelerate the curation of bibliographic and research data metadata, particularly affiliations, by making automated AI calculations visible and correctable. It addresses challenges related to metadata heterogeneity, complex processing chains, and the need for human curation in a diverse research landscape. The paper details Works-magnet's concepts, and the observed limitations, while outlining future directions for enhancing open metadata quality and reusability. The works-magnet app is open source on github https://github.com/dataesr/works-magnet