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Proceedings Paper

An adaptable XML based approach for scientific data management and integration
Author(s): Fusheng Wang; Florian Thiel; Daniel Furrer; Cristobal Vergara-Niedermayr; Chen Qin; Georg Hackenberg; Pierre-Emmanuel Bourgue; David Kaltschmidt; Mo Wang
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Paper Abstract

Increased complexity of scientific research poses new challenges to scientific data management. Meanwhile, scientific collaboration is becoming increasing important, which relies on integrating and sharing data from distributed institutions. We develop SciPort, a Web-based platform on supporting scientific data management and integration based on a central server based distributed architecture, where researchers can easily collect, publish, and share their complex scientific data across multi-institutions. SciPort provides an XML based general approach to model complex scientific data by representing them as XML documents. The documents capture not only hierarchical structured data, but also images and raw data through references. In addition, SciPort provides an XML based hierarchical organization of the overall data space to make it convenient for quick browsing. To provide generalization, schemas and hierarchies are customizable with XML-based definitions, thus it is possible to quickly adapt the system to different applications. While each institution can manage documents on a Local SciPort Server independently, selected documents can be published to a Central Server to form a global view of shared data across all sites. By storing documents in a native XML database, SciPort provides high schema extensibility and supports comprehensive queries through XQuery. By providing a unified and effective means for data modeling, data access and customization with XML, SciPort provides a flexible and powerful platform for sharing scientific data for scientific research communities, and has been successfully used in both biomedical research and clinical trials.

Paper Details

Date Published: 13 March 2008
PDF: 10 pages
Proc. SPIE 6919, Medical Imaging 2008: PACS and Imaging Informatics, 69190K (13 March 2008); doi: 10.1117/12.773154
Show Author Affiliations
Fusheng Wang, Siemens Corporate Research (United States)
Florian Thiel, Freie Univ. Berlin (Germany)
Siemens Corporate Research (United States)
Daniel Furrer, Swiss Federal Institute of Technology (Switzerland)
Siemens Corporate Research (United States)
Cristobal Vergara-Niedermayr, Freie Univ. Berlin (Germany)
Siemens Corporate Research (United States)
Chen Qin, Peking Univ. (China)
Siemens Corporate Research (United States)
Georg Hackenberg, RWTH Aachen Univ. (Germany)
Siemens Corporate Research (United States)
Pierre-Emmanuel Bourgue, LogicaCMG (France)
Siemens Corporate Research (United States)
David Kaltschmidt, Freie Univ. Berlin (Germany)
Siemens Corporate Research (United States)
Mo Wang, Univ. of Duisburg-Essen (Germany)
Siemens Corporate Research (United States)

Published in SPIE Proceedings Vol. 6919:
Medical Imaging 2008: PACS and Imaging Informatics
Katherine P. Andriole; Khan M. Siddiqui, Editor(s)

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