OBIB-a novel ontology for biobanking.

Journal: Journal of biomedical semantics
Published Date: Jan 1, 2016

Abstract

BACKGROUND: Biobanking necessitates extensive integration of data to allow data analysis and specimen sharing. Ontologies have been demonstrated to be a promising approach in fostering better semantic integration of biobank-related data. Hitherto no ontology provided the coverage needed to capture a broad spectrum of biobank user scenarios.

Authors

  • Mathias Brochhausen
    Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Jie Zheng
    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China.
  • David Birtwell
    Penn Medicine BioBank, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
  • Heather Williams
    Penn Medicine BioBank, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
  • Anna Maria Masci
    Department of Immunology, Duke University, Durham, North Carolina, United States of America.
  • Helena Judge Ellis
    Duke Biobank, Duke Translational Research Institute, Duke University, Durnham, USA.
  • Christian J Stoeckert
    Department of Genetics, Institute for Translational Medicine and Therapeutics, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.

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