Reymond, David
Preferred name
Reymond, David
Now showing 1 - 2 of 2
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, AI for metadata quality improvement in a CRIS: automating data processes for researchers' benefit(euroCRIS, 2024-11-27); The presentation follows up on the update on the CRISalid project delivered at the CRIS2024 conference in Vienna earlier this year and focuses on the challenges posed by the identification of the data on research publications that should feed a CRIS. An eco-friendly, IA-based methodology is proposed to deal with the duplicates that inevitably arise when collecting information on research publications from multiple databases. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Decentralized Research Data Management: Introducing SoVisu+(euroCRIS, 2024-05-15)Current research information systems (CRIS) often grapple with data quality, accessibility, and adherence due to their centralized and siloed nature. This paper introduces SoVisu+, a groundbreaking decentralized research data management model built upon the SoVisu platform. SoVisu+ empowers researchers through self-archiving and data curation tools, while institutions leverage this expert-verified information for high-quality indexing and knowledge graph construction. Employing Semantic Web, Social Web technologies, and integrating Artificial Intelligence and Large Language Models, SoVisu+ facilitates collaboration, eliminates redundancy, and expect to surpass the limitations of existing CRIS. By promoting community participation and offering enhanced data management tools, SoVisu+ aims to establish a sustainable and collaborative research data management ecosystem but such architecture expects several organizational adaptations and questions we expect to share with the community.