Schema-Independent and Schema-Friendly Scientific Metadata Management

  • Authors:
  • Scott Jensen;Beth Plale

  • Affiliations:
  • -;-

  • Venue:
  • ESCIENCE '08 Proceedings of the 2008 Fourth IEEE International Conference on eScience
  • Year:
  • 2008

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Abstract

Computational science is creating a deluge of data, and the automated capture and cataloging of detailed descriptive metadata has been recognized as necessary to enable reuse of this data. Scientific communities in varied disciplines have developed detailed XML metadata schemas to describe data products. Our research has identified characteristics of scientific schemas that can be exploited to efficiently capture and search this metadata based on the schemas specific to each community, but using an easily adaptable framework.