Integrating Data Management and Collaborative Sharing with Computational Science Research Processes

Kerstin Kleese van Dam, Mark James, AM Walker

Research output: Chapter in Book/Report/Conference proceedingChapter in a book

4 Citations (Scopus)

Abstract

Scientific Data Management – the management of storage, access, usage, lifecycle, content, and meaning for scientific data – and the collaborative sharing of it, is not as commonly employed in computational science as it is in other fields. However, where these have been co-developed and in particular tightly integrated with the computational science research process, they have had a transformational influence on scientists’ work processes. These efforts enabled not only new and previously impossible research, but also helped to speed up research processes and improve research output. 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.
Translated title of the contributionIntegrating Data Management and Collaborative Sharing with Computational Science Research Processes
Original languageEnglish
Title of host publicationHandbook of Research on Computational Science and Engineering: Theory and Practice
EditorsJ. Leng, Wes Sharrock
PublisherIGI Global
Pages506 - 538
Number of pages33
Volume1
ISBN (Print)9781613501160
Publication statusPublished - 2011

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