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Workshop on Database Issues for Data Visualization

DBVIS 1993: Database Issues for Data Visualization pp 69–82Cite as

An extended schema model for scientific data

  • Papers: Data Models
  • Conference paper
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 871))

Abstract

The absence of a uniform and comprehensive representation for complex scientific data makes the adaptation of database technology to multidisciplinary research projects difficult. In this paper, we clarify the taxonomy of data representations required for scientific database systems. Then, based on our proposed scientific database environment, we present a scientific data abstraction at the conceptual level, a schema model for scientific data. This schema model allows us to store and manipulate scientific data in a uniform way independent of the implementation data model. We believe that more information has to be maintained as metadata for scientific data analysis than in statistical and commercial databases. Clearly, metadata constitutes an important part of our schema model. As part of the schema model, we provide an operational definition for metadata. This definition enables us to focus on the complex relationship between data and metadata.

The Scientific Database Research Project at the University of New Hampshire is supported by the National Science Foundation under grant IRI-9117153.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of New Hampshire, 03824, New Hampshire, USA

    David T. Kao, R. Daniel Bergeron & Ted M. Sparr

Authors
  1. David T. Kao
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  2. R. Daniel Bergeron
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  3. Ted M. Sparr
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Editor information

John P. Lee Georges G. Grinstein

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© 1994 Springer-Verlag Berlin Heidelberg

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Kao, D.T., Bergeron, R.D., Sparr, T.M. (1994). An extended schema model for scientific data. In: Lee, J.P., Grinstein, G.G. (eds) Database Issues for Data Visualization. DBVIS 1993. Lecture Notes in Computer Science, vol 871. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0021145

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  • DOI: https://doi.org/10.1007/BFb0021145

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58519-0

  • Online ISBN: 978-3-540-49016-6

  • eBook Packages: Springer Book Archive

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