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
Univ. of California San Francisco, CA;
Summit Transl Bioinform. 2010 Mar 1;2010:51-5.
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.
涵盖干预性研究和观察性研究的人体研究，是增进我们对健康、疾病及治疗方案理解的最重要证据来源。为推动研究发现，这些研究的设计和结果应实现机器可读，以便进行大规模数据挖掘、综合分析和重新分析。人体研究数据库项目旨在定义并实施一种信息学基础设施，供各机构共享其人体研究的设计。我们已开发出临床研究本体（OCRe），用于对研究特征（如设计类型、干预措施和结果）进行建模，以支持科学查询和分析。我们正将OCRe用作通过caGrid进行人体研究联合数据共享的参考语义，并正在与多个临床和转化科学奖（CTSA）机构进行该实施方案的试点。
