A. Krishnamurthy, K. Bradford, Chris Calloway, C. Castillo, Mike C. Conway, Jason Coposky, Yue Guo, R. Idaszak, W. Lenhardt, K. Robasky, Terrell G. Russell, Erik Scott, Marcin Sliwowski, M. Stealey, Kelsey Urgo, Hao Xu, H. Yi, S. Ahalt
{"title":"xDCI, a data science cyberinfrastructure for interdisciplinary research","authors":"A. Krishnamurthy, K. Bradford, Chris Calloway, C. Castillo, Mike C. Conway, Jason Coposky, Yue Guo, R. Idaszak, W. Lenhardt, K. Robasky, Terrell G. Russell, Erik Scott, Marcin Sliwowski, M. Stealey, Kelsey Urgo, Hao Xu, H. Yi, S. Ahalt","doi":"10.1109/HPEC.2017.8091022","DOIUrl":null,"url":null,"abstract":"This paper introduces xDCI, a Data Science Cyber-infrastructure to support research in a number of scientific domains including genomics, environmental science, biomedical and health science, and social science. xDCI leverages open-source software packages such as the integrated Rule Oriented Data System and the CyVerse Discovery Environment to address significant challenges in data storage, sharing, analysis and visualization. We provide three example applications to evaluate xDCI for different domains: analysis of 3D images of mice brains, videos analysis of neonatal resuscitation, and risk analytics. Finally, we conclude with a discussion of potential improvements to xDCI.","PeriodicalId":364903,"journal":{"name":"2017 IEEE High Performance Extreme Computing Conference (HPEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE High Performance Extreme Computing Conference (HPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPEC.2017.8091022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper introduces xDCI, a Data Science Cyber-infrastructure to support research in a number of scientific domains including genomics, environmental science, biomedical and health science, and social science. xDCI leverages open-source software packages such as the integrated Rule Oriented Data System and the CyVerse Discovery Environment to address significant challenges in data storage, sharing, analysis and visualization. We provide three example applications to evaluate xDCI for different domains: analysis of 3D images of mice brains, videos analysis of neonatal resuscitation, and risk analytics. Finally, we conclude with a discussion of potential improvements to xDCI.