Abstract | ||
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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. |
Year | DOI | Venue |
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2017 | 10.1109/HPEC.2017.8091022 | 2017 IEEE High Performance Extreme Computing Conference (HPEC) |
Keywords | Field | DocType |
health science,genomics,biomedical science,xDCI,open-source software packages,CyVerse Discovery Environment,data sharing,data analysis,data visualization,social science,environmental science,scientific domains,Data Science Cyber-infrastructure,data storage,integrated Rule Oriented Data System | Data science,Metadata,Data visualization,World Wide Web,Computer science,Risk analysis (business),Visualization,Cyberinfrastructure,Software | Conference |
ISSN | ISBN | Citations |
2377-6943 | 978-1-5386-3473-8 | 0 |
PageRank | References | Authors |
0.34 | 3 | 18 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ashok Krishnamurthy | 1 | 455 | 56.47 |
Kira Bradford | 2 | 0 | 0.68 |
Chris Calloway | 3 | 0 | 0.68 |
Claris Castillo | 4 | 231 | 14.93 |
Mike C. Conway | 5 | 2 | 1.44 |
Jason Coposky | 6 | 0 | 0.34 |
Yue Guo | 7 | 0 | 0.34 |
Ray Idaszak | 8 | 4 | 2.77 |
W. Christopher Lenhardt | 9 | 24 | 5.37 |
Kimberly Robasky | 10 | 0 | 0.34 |
Terrell Russell | 11 | 60 | 5.71 |
Erik Scott | 12 | 0 | 0.68 |
Marcin Sliwowski | 13 | 0 | 0.34 |
Michael J. Stealey | 14 | 3 | 1.23 |
Kelsey Urgo | 15 | 0 | 0.34 |
Hao Xu | 16 | 2 | 2.77 |
Hong Yi | 17 | 1 | 3.41 |
Stan Ahalt | 18 | 0 | 0.34 |