Title :
Schema-Independent and Schema-Friendly Scientific Metadata Management
Author :
Jensen, Scott ; Plale, Beth
Author_Institution :
Comput. Sci. Dept., Indiana Univ., Bloomington, IN
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.
Keywords :
XML; meta data; natural sciences computing; XML metadata schema; computational science; data product; schema-friendly scientific metadata management; schema-independent scientific metadata management; Astronomy; Catalogs; Communities; Computer science; Conference management; Databases; ISO standards; Meteorology; Standards publication; XML; Cyberinfrastructure; Metadata; XML;
Conference_Titel :
eScience, 2008. eScience '08. IEEE Fourth International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
978-1-4244-3380-3
Electronic_ISBN :
978-0-7695-3535-7
DOI :
10.1109/eScience.2008.114