Title :
A national virtual specimen database for early cancer detection
Author :
Kincaid, H. ; Crichton, D. ; Winget, M. ; Kelly, S. ; Johnsey, D. ; Srivastava, S. ; Thornquist, M.
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 cancer research institutions 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 cancer 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 morphologic 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 biospecimen database whereby scientists could search and retrieve details about specimens located at collaborating institutions. 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 systems.
Keywords :
cancer; information services; medical information systems; patient diagnosis; statistical analysis; virtual storage; biospecimen data; biospecimens; biostatistics; cancer biomarker discovery; cancer research institutions; collaborating institutions; collaborative design; collaborative focus; collaborative science-driven research environment; collaborative scientific environment; collection methods; collection processes; computer science; cross-disciplinary teams; disease markers; early cancer detection; expertise; informatics infrastructure; national virtual specimen database; virtual biospecimen database; Bioinformatics; Biomarkers; Cancer detection; Collaboration; Computer science; Databases; Diseases; Informatics; Management information systems; Propulsion;
Conference_Titel :
Computer-Based Medical Systems, 2003. Proceedings. 16th IEEE Symposium
Conference_Location :
New York, NY, USA
Print_ISBN :
0-7695-1901-6
DOI :
10.1109/CBMS.2003.1212776