A framework for user driven data management

Mark Scott; Richard P. Boardman; Philippa A. S. Reed; Tim Austin; Steven Johnston; Kenji Takeda; Simon J. Cox

doi:10.1016/j.is.2013.11.004

A framework for user driven data management

Mark Scott, Richard P. Boardman, Philippa A. S. Reed, Tim Austin, Steven Johnston, Kenji Takeda, Simon J. Cox

School of Computing

Research output: Contribution to journal › Article › peer-review

Abstract

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 (µCT) 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.

Original language	English
Pages (from-to)	36-58
Number of pages	23
Journal	Information Systems
Volume	42
Early online date	10 Dec 2013
DOIs	https://doi.org/10.1016/j.is.2013.11.004
Publication status	Published - 1 Jun 2014

Keywords

digital libraries
document management
heterogeneous databases
scientific databases
dissemination
data models

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10.1016/j.is.2013.11.004

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title = "A framework for user driven data management",

abstract = "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 (µCT) 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.",

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T1 - A framework for user driven data management

AU - Scott, Mark

AU - Boardman, Richard P.

AU - Reed, Philippa A. S.

AU - Austin, Tim

AU - Johnston, Steven

AU - Takeda, Kenji

AU - Cox, Simon J.

PY - 2014/6/1

Y1 - 2014/6/1

N2 - 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 (µCT) 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.

AB - 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 (µCT) 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.

KW - digital libraries

KW - document management

KW - heterogeneous databases

KW - scientific databases

KW - dissemination

KW - data models

U2 - 10.1016/j.is.2013.11.004

DO - 10.1016/j.is.2013.11.004

M3 - Article

SN - 0306-4379

VL - 42

SP - 36

EP - 58

JO - Information Systems

JF - Information Systems

ER -

A framework for user driven data management

Abstract

Keywords

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