Technical Report TR689:
Scott Jensen and Beth Plale
Schema-Independent and Schema-Friendly Scientific Metadata Management
(Jan 2011), 8 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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