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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2014/41836
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| Title: | A national virtual specimen database for early cancer detection |
| Authors: | Mathematical and Computer Sciences (General)
Crichton, Daniel
Kincaid, Heather
Kelly, Sean
Thornquist, Mark
Johnsey, Donald
Winget, Marcy |
| Keywords: | distributed
biomedical informatics
data management |
| Issue Date: | 26-Jun-2003 |
| Publisher: | Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2003. |
| Citation: | 16th IEEE Conference on Computerbased Medical Systems, Mount Sinai School of Medicine, New York, New York, June 26-27, 2003 |
| Abstract: | Access to biospecimens is essential for enabling cancer biomarker discovery. The National Cancer Institute's (NCI) Early Detection Research Network (EDRN) comprises and integrates a large number of laboratories into a network in order to establish a collaborative scientific environment to discover and validate disease markers. The diversity of both the institutions and the collaborative focus has created the need for establishing cross-disciplinary teams focused on integrating expertise in biomedical research, computational and biostatistics, and computer science. Given the collaborative design of the network, the EDRN needed an informatics infrastructure. The Fred Hutchinson Cancer Research Center, the National Cancer Institute,
and NASA's Jet Propulsion Laboratory (JPL) teamed up to build an informatics infrastructure creating a collaborative, science-driven research environment despite the geographic and morphology differences of the information systems that existed within the diverse network. EDRN investigators identified the need to share biospecimen data captured across the country managed in disparate databases. As a result, the informatics team initiated an effort to create a virtual tissue database whereby scientists could search and locate details about specimens located at collaborating laboratories. Each database, however, was locally implemented and integrated into collection processes and methods unique to each institution. This meant that efforts to integrate databases needed to be done in a manner that did not require redesign or re-implementation of existing system |
| URI: | http://hdl.handle.net/2014/41836 |
| Appears in Collections: | JPL TRS 1992+
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