{"title":"分散式研究数据管理:引入 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 Traditional, centralized systems have issues like fragmented data, unchecked and outdated information.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":"{\"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 Traditional, centralized systems have issues like fragmented data, unchecked and outdated information.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}","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}
Decentralized research data management: introducing SoVisu+
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.