A framework for user driven data management

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

  • Affiliations:
  • -;-;-;-;-;-;-

  • Venue:
  • Information Systems
  • Year:
  • 2014

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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 (@mCT) 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.