Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/2578
Title: Decentralized Research Data Management: Introducing SoVisu+
Authors: Reymond, David 
Keywords: research information management;current research information systems;metadata quality;semantic web;linked open data;decentralization
Issue Date: 15-May-2024
Publisher: euroCRIS
Series/Report no.: CRIS2024: 16th International Conference on Current Research Information Systems (Vienna, Austria, May 15-17, 2024)
Conference: CRIS2024 – Vienna 
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.
Description: 
Extended abstract presented at the CRIS2024 conference in Vienna.-- Event programme available at https://cris2024.eurocris.org/#programme

17 slides.-- Presentation delivered within Session 3.2 "New developments" on Wed May 15th, 2024
URI: http://hdl.handle.net/11366/2578
Appears in Collections:Conference

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