现代数据管理实践与科学工作流程的集成

2012 IEEE 8th International Conference on E-Science Pub Date : 2012-10-08 DOI:10.1109/eScience.2012.6404426

N. Killeen, Jason M. Lohrey, M. Farrell, Wilson Liu, S. Garic, D. Abramson, H. Nguyen, G. Egan

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引用次数: 5

摘要

现代科学越来越多地涉及管理和处理由全球研究人员团队访问的大量分布式数据。要做到这一点，我们需要将数据、元数据和工作流结合到一个系统中的系统。本文讨论了这样一个系统，它由许多现有技术构建而成。我们在一个分析MRI数据的案例研究中证明了该方法的有效性。

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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Integration of modern data management practice with scientific workflows

Modern science increasingly involves managing and processing large amounts of distributed data accessed by global teams of researchers. To do this, we need systems that combine data, meta-data and workflows into a single system. This paper discusses such a system, built from a number of existing technologies. We demonstrate the effectiveness on a case study that analyses MRI data.

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2012 IEEE 8th International Conference on E-Science

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