{"title":"介绍以数据为中心的工程:一个开放获取的期刊，致力于工程设计和实践的转变","authors":"M. Girolami","doi":"10.1017/dce.2020.5","DOIUrl":null,"url":null,"abstract":"Data-Centric Engineering isapeer-reviewed,openaccess journalforworkthatpromotestheuseofexperimental and observational data — and new methods of sensing, measurement, and data capture — in all areas of engineering in order to design systems and products that are more reliable, resilient, efficient and safe. For more details see cambridge.org/dce.","PeriodicalId":34169,"journal":{"name":"DataCentric Engineering","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2020-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/dce.2020.5","citationCount":"3","resultStr":"{\"title\":\"Introducing Data-Centric Engineering: An open access journal dedicated to the transformation of engineering design and practice\",\"authors\":\"M. Girolami\",\"doi\":\"10.1017/dce.2020.5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data-Centric Engineering isapeer-reviewed,openaccess journalforworkthatpromotestheuseofexperimental and observational data — and new methods of sensing, measurement, and data capture — in all areas of engineering in order to design systems and products that are more reliable, resilient, efficient and safe. For more details see cambridge.org/dce.\",\"PeriodicalId\":34169,\"journal\":{\"name\":\"DataCentric Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2020-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1017/dce.2020.5\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"DataCentric Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1017/dce.2020.5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"DataCentric Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/dce.2020.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Introducing Data-Centric Engineering: An open access journal dedicated to the transformation of engineering design and practice
Data-Centric Engineering isapeer-reviewed,openaccess journalforworkthatpromotestheuseofexperimental and observational data — and new methods of sensing, measurement, and data capture — in all areas of engineering in order to design systems and products that are more reliable, resilient, efficient and safe. For more details see cambridge.org/dce.
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