Encouraging collaboration through a new data management approach

Johnston, Steven (2006) Encouraging collaboration through a new data management approach. University of Southampton, School of Engineering Sciences, Doctoral Thesis , 188pp.


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The ability to store large volumes of data is increasing faster than processing power. Some existing data management methods often result in data loss, inaccessibility or repetition of simulations. We propose a framework which promotes collaboration and simplifies data management. In particular we have demonstrated the proposed framework in the scenario
of handling large scale data generated from biomolecular simulations in a multiinstitutional global collaboration. The framework has extended the ability of the Python problem solving environment to manage data files and metadata associated with simulations. We provide a transparent and seamless environment for user submitted code to analyse and post-process data stored in the framework. Based on this scenario we have further enhanced and extended the framework
to deal with the more generic case of enabling any existing data file to be post processed from any .NET enabled programming language.

Item Type: Thesis (Doctoral)
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QA Mathematics > QA76 Computer software
Divisions : University Structure - Pre August 2011 > School of Engineering Sciences > Computational Engineering and Design
ePrint ID: 65549
Accepted Date and Publication Date:
August 2006Made publicly available
Date Deposited: 19 Feb 2009
Last Modified: 31 Mar 2016 12:51
URI: http://eprints.soton.ac.uk/id/eprint/65549

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