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Integrating Data Management and Collaborative Sharing with Computational Science Research Processes

Integrating Data Management and Collaborative Sharing with Computational Science Research Processes

Kerstin Kleese van Dam, Mark James, Andrew M. Walker
ISBN13: 9781613501160|ISBN10: 1613501161|EISBN13: 9781613501177
DOI: 10.4018/978-1-61350-116-0.ch021
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MLA

Kleese van Dam, Kerstin, et al. "Integrating Data Management and Collaborative Sharing with Computational Science Research Processes." Handbook of Research on Computational Science and Engineering: Theory and Practice, edited by J. Leng and Wes Sharrock, IGI Global, 2012, pp. 506-538. https://doi.org/10.4018/978-1-61350-116-0.ch021

APA

Kleese van Dam, K., James, M., & Walker, A. M. (2012). Integrating Data Management and Collaborative Sharing with Computational Science Research Processes. In J. Leng & W. Sharrock (Eds.), Handbook of Research on Computational Science and Engineering: Theory and Practice (pp. 506-538). IGI Global. https://doi.org/10.4018/978-1-61350-116-0.ch021

Chicago

Kleese van Dam, Kerstin, Mark James, and Andrew M. Walker. "Integrating Data Management and Collaborative Sharing with Computational Science Research Processes." In Handbook of Research on Computational Science and Engineering: Theory and Practice, edited by J. Leng and Wes Sharrock, 506-538. Hershey, PA: IGI Global, 2012. https://doi.org/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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