Automating data management in science and engineering
Automating data management in science and engineering
In this thesis we investigate a profile of data management problems, from the initial stages of data capture and storage, through management of evolving data structures, to retrieval and analysis of distributed data. We concentrate on automating the data management process for scientific and engineering users, who are skilled in their field of work, but less familiar with database technologies. We first look at data capture, and automatic database generation and data storage, using metadata about the process of engineering design as an example. We use an abstraction layer that is independent of platform, database and data domain. A persistent archive should be flexible enough to cope with data structures that change over time. We show that our architecture naturally facilitates database schema evolution, providing such flexibility automatically. Finally, we demonstrate that scientific simulation results can be retrieved through an automatically generated, customisable web based interface and analysed with a secure post-processing facility for archived and user uploaded code.
University of Southampton
Wason, Jasmin L
53c0ff1b-07a0-40b7-b336-e16cded21596
2001
Wason, Jasmin L
53c0ff1b-07a0-40b7-b336-e16cded21596
Wason, Jasmin L
(2001)
Automating data management in science and engineering.
University of Southampton, Doctoral Thesis.
Record type:
Thesis
(Doctoral)
Abstract
In this thesis we investigate a profile of data management problems, from the initial stages of data capture and storage, through management of evolving data structures, to retrieval and analysis of distributed data. We concentrate on automating the data management process for scientific and engineering users, who are skilled in their field of work, but less familiar with database technologies. We first look at data capture, and automatic database generation and data storage, using metadata about the process of engineering design as an example. We use an abstraction layer that is independent of platform, database and data domain. A persistent archive should be flexible enough to cope with data structures that change over time. We show that our architecture naturally facilitates database schema evolution, providing such flexibility automatically. Finally, we demonstrate that scientific simulation results can be retrieved through an automatically generated, customisable web based interface and analysed with a secure post-processing facility for archived and user uploaded code.
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Published date: 2001
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Local EPrints ID: 464686
URI: http://eprints.soton.ac.uk/id/eprint/464686
PURE UUID: 6341c109-52ce-471a-82e7-70f20133a1ca
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Date deposited: 04 Jul 2022 23:56
Last modified: 16 Mar 2024 19:42
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Author:
Jasmin L Wason
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