Literature DB >> 20955817

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

Jessica D Tenenbaum1, 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.   

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.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20955817      PMCID: PMC3050430          DOI: 10.1016/j.jbi.2010.10.003

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  3 in total

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Journal:  PLoS One       Date:  2008-05-28       Impact factor: 3.240

  3 in total
  24 in total

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2.  Ontologies for clinical and translational research: Introduction.

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4.  Discovering beaten paths in collaborative ontology-engineering projects using Markov chains.

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Journal:  J Biomed Inform       Date:  2014-06-17       Impact factor: 6.317

5.  How Ontologies are Made: Studying the Hidden Social Dynamics Behind Collaborative Ontology Engineering Projects.

Authors:  Markus Strohmaier; Simon Walk; Jan Pöschko; Daniel Lamprecht; Tania Tudorache; Csongor Nyulas; Mark A Musen; Natalya F Noy
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Journal:  Brain Imaging Behav       Date:  2014-06       Impact factor: 3.978

8.  Network structure and the role of key players in a translational cancer research network: a study protocol.

Authors:  Janet C Long; Frances C Cunningham; Jeffrey Braithwaite
Journal:  BMJ Open       Date:  2012-06-25       Impact factor: 2.692

9.  Research resources: curating the new eagle-i discovery system.

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10.  e-MIR2: a public online inventory of medical informatics resources.

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Journal:  BMC Med Inform Decis Mak       Date:  2012-08-02       Impact factor: 2.796

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