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Ontology based data management systems for post-genomic clinical trials within a European grid infrastructure for cancer research

: Weiler, G.; Brochhausen, M.; Graf, N.; Schera, F.; Hoppe, A.; Kiefer, S.


IEEE Engineering in Medicine and Biology Society -EMBS-:
29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2007 : August 23-26, 2007, Cité Internationale, Lyon, France, in conjunction with the biennial conference of the Société Française de Génie Biologique et Médical (SFGBM)
New York, NY: IEEE, 2007
ISBN: 978-1-4244-0788-0
ISBN: 1-4244-0787-7
ISBN: 978-1-4244-0787-3
Engineering in Medicine and Biology Society (Annual International Conference EMBS) <29, 2007, Lyon>
Société Française de Génie Biologique et Médical (SFGBM Biennial Conference) <2007, Lyon>
Conference Paper
Fraunhofer IBMT ()

Data management in post-genomic clinical trials is the process of collecting and validating clinical and genomic data with the goal to answer research questions and to preserve it for future scientific investigation. Comprehensive metadata describing the semantics of the data are needed to leverage it for further research like cross-trial analysis. Current clinical trial management systems mostly lack sufficient metadata and are not semantically interoperable. This paper outlines our approach to develop an application that allows trial chairmen to design their trial and especially the required data management system with comprehensive metadata according to their needs, integrating a clinical trial ontology into the design process. To demonstrate the built-in interoperability of data management systems developed in this way, we integrate these applications into a European biomedical Grid for cancer research in a way that the research data collected in the data management systems can be seamlessly analyzed and mined by researchers.