Decentralized Research Data Management: Introducing SoVisu+

Abstract

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.