{"title":"Decentralized research data management: introducing SoVisu+","authors":"Reymond David , Tabariès Alaric","doi":"10.1016/j.procs.2024.11.067","DOIUrl":null,"url":null,"abstract":"<div><div>This research proposes SoVisu+, a new system for managing research data in a decentralized way, building upon the foundation laid by the CRISalid consortium, a community-driven approach to research information management. Traditional, centralized systems have issues like fragmented data, unchecked and outdated information. SoVisu+ tackles these problems by giving researchers more control over their data and fostering collaboration to build a shared knowledge graph. Researchers benefit from features like self-archiving accompaniment, AI driven helpers and real-time profile views, while institutions gain access to more reliable and comprehensive data. SoVisu+ expects to employ cutting-edge technologies like Solid Pods and Linked Data to streamline data management and improve research evaluation practices. Overall, SoVisu+ aims to create a more transparent and collaborative research ecosystem that ultimately accelerates scientific progress.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"249 ","pages":"Pages 216-223"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Procedia Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1877050924032782","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This research proposes SoVisu+, a new system for managing research data in a decentralized way, building upon the foundation laid by the CRISalid consortium, a community-driven approach to research information management. Traditional, centralized systems have issues like fragmented data, unchecked and outdated information. SoVisu+ tackles these problems by giving researchers more control over their data and fostering collaboration to build a shared knowledge graph. Researchers benefit from features like self-archiving accompaniment, AI driven helpers and real-time profile views, while institutions gain access to more reliable and comprehensive data. SoVisu+ expects to employ cutting-edge technologies like Solid Pods and Linked Data to streamline data management and improve research evaluation practices. Overall, SoVisu+ aims to create a more transparent and collaborative research ecosystem that ultimately accelerates scientific progress.