{"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":" ","pages":""},"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}
引用次数: 3
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.
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