Ontology-based federated data access to human studies information.

Ida Sim, Simona Carini, Samson W. Tu, Landon T. Detwiler, James Brinkley, Shamim A. Mollah, Karl Burke, Harold P. Lehmann, Swati Chakraborty, Knut M. Wittkowski, Brad H. Pollock, Thomas M. Johnson, Vojtech Huser, Studies Database Project Human Studies Database Project

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Human studies are one of the most valuable sources of knowledge in biomedical research, but data about their design and results are currently widely dispersed in siloed systems. Federation of these data is needed to facilitate large-scale data analysis to realize the goals of evidence-based medicine. The Human Studies Database project has developed an informatics infrastructure for federated query of human studies databases, using a generalizable approach to ontology-based data access. Our approach has three main components. First, the Ontology of Clinical Research (OCRe) provides the reference semantics. Second, a data model, automatically derived from OCRe into XSD, maintains semantic synchrony of the underlying representations while facilitating data acquisition using common XML technologies. Finally, the Query Integrator issues queries distributed over the data, OCRe, and other ontologies such as SNOMED in BioPortal. We report on a demonstration of this infrastructure on data acquired from institutional systems and from ClinicalTrials.gov.

Original languageEnglish (US)
Pages (from-to)856-865
Number of pages10
JournalUnknown Journal
StatePublished - 2012

ASJC Scopus subject areas

  • General Medicine


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