Decentralized Research Data Management: Introducing SoVisu+

Author(s)
Keywords

research information ...

current research info...

metadata quality

semantic web

linked open data

decentralization

Issue Date
May 15, 2024
Publisher
euroCRIS
Type
Conference Proceeding
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
https://dspacecris.eurocris.org/handle/11366/2578
DOI
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Extended abstract (PDF)
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