The Biomedical Resource Ontology (BRO) to enable resource discovery in clinical and translational research

  • Authors:

  • Jessica D. Tenenbaum;Patricia L. Whetzel;Kent Anderson;Charles D. Borromeo;Ivo D. Dinov;Davera Gabriel;Beth Kirschner;Barbara Mirel;Tim Morris;Natasha Noy;Csongor Nyulas;David Rubenson;Paul R. Saxman;Harpreet Singh;Nancy Whelan;Zach Wright;Brian D. Athey;Michael J. Becich;Geoffrey S. Ginsburg;Mark A. Musen;Kevin A. Smith;Alice F. Tarantal;Daniel L. Rubin;Peter Lyster

  • Affiliations:

  • Duke Translational Medicine Institute, Duke University School of Medicine, Durham, NC, USA;Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA;Clinical and Translational Science Center, University of California at Davis Health System, Sacramento, CA, USA;Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA;Center for Computational Biology, Laboratory of Neuro Imaging, University of California, Los Angeles, Los Angeles, California, USA;Clinical and Translational Science Center, University of California at Davis Health System, Sacramento, CA, USA;National Center for Integrative Biomedical Informatics, University of Michigan, Ann Arbor, MI, USA;National Center for Integrative Biomedical Informatics, University of Michigan, Ann Arbor, MI, USA and School of Education, University of Michigan, Ann Arbor, MI, USA;Research and Health Sciences IT Division, Emory University, Atlanta, GA, USA;Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA;Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA;Stanford University Cancer Center, Stanford University, Stanford, CA, USA;Michigan Institute for Clinical & Health Research, University of Michigan, Ann Arbor, MI, USA;Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA;Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA;Center for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA;Michigan Institute for Clinical & Health Research, University of Michigan, Ann Arbor, MI, USA and National Center for Integrative Biomedical Informatics, University of Michigan, Ann Arbor, MI, USA;Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA;Institute for Genome Sciences & Policy, Duke University, Durham, NC, USA;Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA;Michigan Institute for Clinical & Health Research, University of Michigan, Ann Arbor, MI, USA;Departments of Pediatrics and Cell Biology and Human Anatomy, School of Medicine, UC Davis Clinical and Translational Science Center, University of California, Davis, CA, USA;Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA;Center for Bioinformatics and Computational Biology, National Institute of General Medical Sciences, Bethesda, MD, USA

  • Venue:
  • Journal of Biomedical Informatics
  • Year:
  • 2011

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Abstract

The biomedical research community relies on a diverse set of resources, both within their own institutions and at other research centers. In addition, an increasing number of shared electronic resources have been developed. Without effective means to locate and query these resources, it is challenging, if not impossible, for investigators to be aware of the myriad resources available, or to effectively perform resource discovery when the need arises. In this paper, we describe the development and use of the Biomedical Resource Ontology (BRO) to enable semantic annotation and discovery of biomedical resources. We also describe the Resource Discovery System (RDS) which is a federated, inter-institutional pilot project that uses the BRO to facilitate resource discovery on the Internet. Through the RDS framework and its associated Biositemaps infrastructure, the BRO facilitates semantic search and discovery of biomedical resources, breaking down barriers and streamlining scientific research that will improve human health.