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What is Data Lifecycle Management

Chapter 21
Handbook of Research on Computational Science and Engineering: Theory and Practice
Effective management and exploitation of data from its creation until it is obsolete.
Published in Chapter:
Integrating Data Management and Collaborative Sharing with Computational Science Research Processes
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
DOI: 10.4018/978-1-61350-116-0.ch021
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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