xDCI，用于跨学科研究的数据科学网络基础设施

2017 IEEE High Performance Extreme Computing Conference (HPEC) Pub Date : 2017-09-01 DOI:10.1109/HPEC.2017.8091022

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

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引用次数: 2

摘要

本文介绍了xDCI，一种数据科学网络基础设施，用于支持许多科学领域的研究，包括基因组学、环境科学、生物医学和健康科学以及社会科学。xDCI利用开源软件包，如集成的面向规则的数据系统和CyVerse发现环境，来解决数据存储、共享、分析和可视化方面的重大挑战。我们提供了三个例子来评估xDCI在不同领域的应用:小鼠大脑3D图像分析、新生儿复苏视频分析和风险分析。最后，我们将讨论xDCI的潜在改进。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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xDCI, a data science cyberinfrastructure for interdisciplinary research

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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2017 IEEE High Performance Extreme Computing Conference (HPEC)

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