{"title":"知识增强的数字对象:数据湖方法","authors":"Yu Luo, Beth Plale","doi":"10.1109/CCGridW59191.2023.00064","DOIUrl":null,"url":null,"abstract":"Open science is gaining traction as a means to bring greater value to the products of research beyond the published manuscript - that is, to make data and software more accessible and usable. The FAIR principles [1] are a significant step forward in defining the characteristics needed of data for it to be shared, used, and reused.","PeriodicalId":341115,"journal":{"name":"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Knowledge Enhanced Digital Objects: a Data Lake Approach\",\"authors\":\"Yu Luo, Beth Plale\",\"doi\":\"10.1109/CCGridW59191.2023.00064\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Open science is gaining traction as a means to bring greater value to the products of research beyond the published manuscript - that is, to make data and software more accessible and usable. The FAIR principles [1] are a significant step forward in defining the characteristics needed of data for it to be shared, used, and reused.\",\"PeriodicalId\":341115,\"journal\":{\"name\":\"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCGridW59191.2023.00064\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGridW59191.2023.00064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Knowledge Enhanced Digital Objects: a Data Lake Approach
Open science is gaining traction as a means to bring greater value to the products of research beyond the published manuscript - that is, to make data and software more accessible and usable. The FAIR principles [1] are a significant step forward in defining the characteristics needed of data for it to be shared, used, and reused.