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A framework for user driven data management

delete2014-06-01
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PRE
AI
M
Mark Scott *
R
Richard Boardman
P
P.A.S. Reed
T
T.P. Austin
S
Steven J. Johnston
K
Kenji Takeda
S
Simón Cox
DOI:10.1016/j.is.2013.11.004delete
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Abstract

Abstract

En 中文
Scientists within the materials engineering community produce a wide variety of data, with datasets differing in size and complexity. Examples include large 3D volume densitometry files (voxel) generated by microfocus computer tomography (mu CT) and simple text files containing results from a tensile test. Increasingly, there is a need to share this data as part of international collaborations. The design of a suitable database schema and the architecture of a system that can cope with the varying information is a continuing problem in the management of heterogeneous data. We present a model flexible enough to meet users' diverse requirements. Metadata is held using a database and its design allows users to control their own data structures. Data is held in a file store which, in combination with the metadata, gives huge flexibility. Using examples from materials engineering we illustrate how the model can be applied. (C) 2013 Elsevier Ltd. All rights reserved.
Keywords:
Digital libraries
Document management
Heterogeneous databases
Scientific databases
Dissemination
Data models

Journal

Enterprise Information Systems cover
Enterprise Information Systems
IF:
3.9
Papers:
2.8K
Citations:
1.8K

Organization

U
university of southampton
Scholars:
3.3W
Papers: 3.2W
Citations: 52
E
European Commission Joint Research Centre
Scholars:
6.7K
Papers: 5.9K
Citations: 8