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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Integrating Data Management and Collaborative Sharing with Computational Science Research Processes

Integrating Data Management and Collaborative Sharing with Computational Science Research Processes
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Author(s): Kerstin Kleese van Dam (Pacific Northwest National Laboratory, USA), Mark James (University of California San Diego, USA) and Andrew M. Walker (University of Bristol, UK)
Copyright: 2012
Pages: 33
Source title: Handbook of Research on Computational Science and Engineering: Theory and Practice
Source Author(s)/Editor(s): J. Leng (Visual Conclusions, UK) and Wes Sharrock (University of Manchester, UK)
DOI: 10.4018/978-1-61350-116-0.ch021

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Abstract

This chapter describes the key principles and components of a good data management system, provides real world examples of how these can be successfully integrated with scientific research processes and enable successful data sharing, provides an outlook on future developments, and discusses lessons learned. We conclude with a short section on how to get started for those whose interest has been piqued.

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