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Sim I, Carini S, Tu S, et al. The human studies database project: federating human studies design data using the ontology of clinical research. Summit Transl Bioinform. 2010;2010:51-5
Sim, I., Carini, S., Tu, S., Wynden, R., Pollock, B. H., Mollah, S. A., Gabriel, D., Hagler, H. K., Scheuermann, R. H., Lehmann, H. P., Wittkowski, K. M., Nahm, M., & Bakken, S. (2010). The human studies database project: federating human studies design data using the ontology of clinical research. Summit on translational bioinformatics, 201051-5.
Sim, Ida, et al. "The human studies database project: federating human studies design data using the ontology of clinical research." Summit on translational bioinformatics vol. 2010 (2010): 51-5.
Sim I, Carini S, Tu S, Wynden R, Pollock BH, Mollah SA, Gabriel D, Hagler HK, Scheuermann RH, Lehmann HP, Wittkowski KM, Nahm M, Bakken S. The human studies database project: federating human studies design data using the ontology of clinical research. Summit Transl Bioinform. 2010 Mar 01;2010:51-5. PMID: 21347149; PMCID: PMC3041546.
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Summit Transl Bioinform. 2010 Mar 01;2010:51-5.

The human studies database project: federating human studies design data using the ontology of clinical research.

Summit on translational bioinformatics

Ida Sim, Simona Carini, Samson Tu, Rob Wynden, Brad H Pollock, Shamim A Mollah, Davera Gabriel, Herbert K Hagler, Richard H Scheuermann, Harold P Lehmann, Knut M Wittkowski, Meredith Nahm, Suzanne Bakken

Affiliations

  1. Univ. of California San Francisco, CA;

PMID: 21347149 PMCID: PMC3041546

Abstract

Human studies, encompassing interventional and observational studies, are the most important source of evidence for advancing our understanding of health, disease, and treatment options. To promote discovery, the design and results of these studies should be made machine-readable for large-scale data mining, synthesis, and re-analysis. The Human Studies Database Project aims to define and implement an informatics infrastructure for institutions to share the design of their human studies. We have developed the Ontology of Clinical Research (OCRe) to model study features such as design type, interventions, and outcomes to support scientific query and analysis. We are using OCRe as the reference semantics for federated data sharing of human studies over caGrid, and are piloting this implementation with several Clinical and Translational Science Award (CTSA) institutions.

References

  1. BMJ. 2005 Apr 23;330(7497):956-8 - PubMed
  2. Science. 2008 Oct 10;322(5899):217-8 - PubMed
  3. AMIA Annu Symp Proc. 2009 Nov 14;2009:81-5 - PubMed
  4. J Biomed Inform. 2011 Apr;44(2):239-50 - PubMed

Publication Types

Grant support