{"title":"开放科学背景下的FAIR概念","authors":"Svitlana Chukanova","doi":"10.35668/978-966-479-129-5-4-1","DOIUrl":null,"url":null,"abstract":"Research data management is an integral and vital part of global Open Science, and its advantages include: avoiding duplication of existing data, greater transparency of the process, and optimization of efforts in large research groups. The conference paper describes the concept of FAIR (Findable, Accessible, Interoperable, Reusable) as a tool to promote data openness.","PeriodicalId":408270,"journal":{"name":"First International Conference \"Open Science and Innovation in Ukraine 2022\"","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The FAIR concept in the context of Open Science\",\"authors\":\"Svitlana Chukanova\",\"doi\":\"10.35668/978-966-479-129-5-4-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Research data management is an integral and vital part of global Open Science, and its advantages include: avoiding duplication of existing data, greater transparency of the process, and optimization of efforts in large research groups. The conference paper describes the concept of FAIR (Findable, Accessible, Interoperable, Reusable) as a tool to promote data openness.\",\"PeriodicalId\":408270,\"journal\":{\"name\":\"First International Conference \\\"Open Science and Innovation in Ukraine 2022\\\"\",\"volume\":\"126 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First International Conference \\\"Open Science and Innovation in Ukraine 2022\\\"\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35668/978-966-479-129-5-4-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Conference \"Open Science and Innovation in Ukraine 2022\"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35668/978-966-479-129-5-4-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research data management is an integral and vital part of global Open Science, and its advantages include: avoiding duplication of existing data, greater transparency of the process, and optimization of efforts in large research groups. The conference paper describes the concept of FAIR (Findable, Accessible, Interoperable, Reusable) as a tool to promote data openness.