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The Human Studies Database Project: Federating Human Studies Design Data Using the Ontology of Clinical Research

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 dat...

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Detalles Bibliográficos
Autores principales: Sim, Ida, Carini, Simona, Tu, Samson, Wynden, Rob, Pollock, Brad H., Mollah, Shamim A., Gabriel, Davera, Hagler, Herbert K., Scheuermann, Richard H., Lehmann, Harold P., Wittkowski, Knut M., Nahm, Meredith, Bakken, Suzanne
Formato: Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041546/
https://www.ncbi.nlm.nih.gov/pubmed/21347149
Descripción
Sumario: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.