Indiana University Bloomington

Luddy School of Informatics, Computing, and Engineering

Technical Report TR689:
Schema-Independent and Schema-Friendly Scientific Metadata Management

Scott Jensen and Beth Plale
(Jan 2011), 8 pages pages
[A (shorter) extended abstract of this paper was published in the proceeding of the Fourth IEEE International Conference on eScience.]
Computational science is creating a deluge of data, and being able to reuse this data requires detailed descriptive metadata. Scientific communities have developed detailed metadata schemas to describe data products, but this metadata must be captured as workflows execute. 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.

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