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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.

Record type: Thesis (Doctoral)

Abstract

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.

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More information

Published date: August 2006
Organisations: University of Southampton

Identifiers

Local EPrints ID: 65549
URI: http://eprints.soton.ac.uk/id/eprint/65549
PURE UUID: b4372149-d81d-4a87-bf81-6c58cd8c4d3e
ORCID for Steven Johnston: ORCID iD orcid.org/0000-0003-3864-7072

Catalogue record

Date deposited: 19 Feb 2009
Last modified: 19 Jul 2017 00:32

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