{"title":"如何跨领域大数据创造价值?软件景观","authors":"B. Thage, L. K. Andersen","doi":"10.1109/eScience.2018.00111","DOIUrl":null,"url":null,"abstract":"Digital competences, such as advanced scientific computing and data mining tools, are often anchored in domain specific research areas. There is a substantial overlap of data types generated from the different fields of science, and hence there is a possibility for sharing knowledge and tools across disciplins. Mapping of software programming tools and identification of use cases that includes High Performance Computing (HPC) may serve as inspiration in order to bring new value of domain specific data in an interdisciplinary way. This poster share the experience from Denmark based on software mapping in 290 publications that included use of HPC.","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"26 1","pages":"384-385"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How to Bring Value of Domain Specific Big Data in an Interdisciplinary Way? A Software Landscape\",\"authors\":\"B. Thage, L. K. Andersen\",\"doi\":\"10.1109/eScience.2018.00111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital competences, such as advanced scientific computing and data mining tools, are often anchored in domain specific research areas. There is a substantial overlap of data types generated from the different fields of science, and hence there is a possibility for sharing knowledge and tools across disciplins. Mapping of software programming tools and identification of use cases that includes High Performance Computing (HPC) may serve as inspiration in order to bring new value of domain specific data in an interdisciplinary way. This poster share the experience from Denmark based on software mapping in 290 publications that included use of HPC.\",\"PeriodicalId\":6476,\"journal\":{\"name\":\"2018 IEEE 14th International Conference on e-Science (e-Science)\",\"volume\":\"26 1\",\"pages\":\"384-385\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 14th International Conference on e-Science (e-Science)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/eScience.2018.00111\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 14th International Conference on e-Science (e-Science)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/eScience.2018.00111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
How to Bring Value of Domain Specific Big Data in an Interdisciplinary Way? A Software Landscape
Digital competences, such as advanced scientific computing and data mining tools, are often anchored in domain specific research areas. There is a substantial overlap of data types generated from the different fields of science, and hence there is a possibility for sharing knowledge and tools across disciplins. Mapping of software programming tools and identification of use cases that includes High Performance Computing (HPC) may serve as inspiration in order to bring new value of domain specific data in an interdisciplinary way. This poster share the experience from Denmark based on software mapping in 290 publications that included use of HPC.
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