XDCI, a data science cyberinfrastructure for interdisciplinary research

Ashok Krishnamurthy; Kira Bradford; Chris Calloway; Claris Castillo; Mike Conway; Jason Coposky; Yue Guo; Ray Idaszak; W. Christopher Lenhardt; Kimberly Robasky; Terrell Russell; Erik Scott; Marcin Sliwowski; Michael Stealey; Kelsey Urgo; Hao Xu; Hong Yi; Stan Ahalt

doi:10.1109/HPEC.2017.8091022

XDCI, a data science cyberinfrastructure for interdisciplinary research

Ashok Krishnamurthy
, Kira Bradford
, Chris Calloway
, Claris Castillo
, Mike Conway
, Jason Coposky
, Yue Guo
, Ray Idaszak
, W. Christopher Lenhardt
, Kimberly Robasky
, Terrell Russell
, Erik Scott
, Marcin Sliwowski
, Michael Stealey
, Kelsey Urgo
, Hao Xu
, Hong Yi
, Stan Ahalt

University of North Carolina at Chapel Hill

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2017 IEEE High Performance Extreme Computing Conference, HPEC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538634721
DOIs	https://doi.org/10.1109/HPEC.2017.8091022
State	Published - Oct 30 2017
Externally published	Yes
Event	2017 IEEE High Performance Extreme Computing Conference, HPEC 2017 - Waltham, United States Duration: Sep 12 2017 → Sep 14 2017

Publication series

Name	2017 IEEE High Performance Extreme Computing Conference, HPEC 2017

Conference

Conference	2017 IEEE High Performance Extreme Computing Conference, HPEC 2017
Country/Territory	United States
City	Waltham
Period	09/12/17 → 09/14/17

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10.1109/HPEC.2017.8091022

Cite this

Krishnamurthy, A., Bradford, K., Calloway, C., Castillo, C., Conway, M., Coposky, J., Guo, Y., Idaszak, R., Lenhardt, W. C., Robasky, K., Russell, T., Scott, E., Sliwowski, M., Stealey, M., Urgo, K., Xu, H., Yi, H., & Ahalt, S. (2017). XDCI, a data science cyberinfrastructure for interdisciplinary research. In 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017 Article 8091022 (2017 IEEE High Performance Extreme Computing Conference, HPEC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HPEC.2017.8091022

@inproceedings{fcfa4e0af6ef4cd08111839a0b0c016c,

title = "XDCI, a data science cyberinfrastructure for interdisciplinary research",

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.",

author = "Ashok Krishnamurthy and Kira Bradford and Chris Calloway and Claris Castillo and Mike Conway and Jason Coposky and Yue Guo and Ray Idaszak and Lenhardt, \{W. Christopher\} and Kimberly Robasky and Terrell Russell and Erik Scott and Marcin Sliwowski and Michael Stealey and Kelsey Urgo and Hao Xu and Hong Yi and Stan Ahalt",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017 ; Conference date: 12-09-2017 Through 14-09-2017",

year = "2017",

month = oct,

day = "30",

doi = "10.1109/HPEC.2017.8091022",

language = "English",

series = "2017 IEEE High Performance Extreme Computing Conference, HPEC 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2017 IEEE High Performance Extreme Computing Conference, HPEC 2017",

address = "United States",

}

Krishnamurthy, A, Bradford, K, Calloway, C, Castillo, C, Conway, M, Coposky, J, Guo, Y, Idaszak, R, Lenhardt, WC, Robasky, K, Russell, T, Scott, E, Sliwowski, M, Stealey, M, Urgo, K, Xu, H, Yi, H & Ahalt, S 2017, XDCI, a data science cyberinfrastructure for interdisciplinary research. in 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017., 8091022, 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017, Waltham, United States, 09/12/17. https://doi.org/10.1109/HPEC.2017.8091022

XDCI, a data science cyberinfrastructure for interdisciplinary research. / Krishnamurthy, Ashok; Bradford, Kira; Calloway, Chris et al.
2017 IEEE High Performance Extreme Computing Conference, HPEC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8091022 (2017 IEEE High Performance Extreme Computing Conference, HPEC 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - XDCI, a data science cyberinfrastructure for interdisciplinary research

AU - Krishnamurthy, Ashok

AU - Bradford, Kira

AU - Calloway, Chris

AU - Castillo, Claris

AU - Conway, Mike

AU - Coposky, Jason

AU - Guo, Yue

AU - Idaszak, Ray

AU - Lenhardt, W. Christopher

AU - Robasky, Kimberly

AU - Russell, Terrell

AU - Scott, Erik

AU - Sliwowski, Marcin

AU - Stealey, Michael

AU - Urgo, Kelsey

AU - Xu, Hao

AU - Yi, Hong

AU - Ahalt, Stan

PY - 2017/10/30

Y1 - 2017/10/30

N2 - 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.

AB - 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.

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M3 - Conference contribution

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BT - 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017

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ER -

Krishnamurthy A, Bradford K, Calloway C, Castillo C, Conway M, Coposky J et al. XDCI, a data science cyberinfrastructure for interdisciplinary research. In 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 8091022. (2017 IEEE High Performance Extreme Computing Conference, HPEC 2017). doi: 10.1109/HPEC.2017.8091022

XDCI, a data science cyberinfrastructure for interdisciplinary research

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