Finding useful data across multiple biomedical data repositories using DataMed.

Journal: Nature genetics
PMID: 28546571

Abstract

The value of broadening searches for data across multiple repositories has been identified by the biomedical research community. As part of the US National Institutes of Health (NIH) Big Data to Knowledge initiative, we work with an international community of researchers, service providers and knowledge experts to develop and test a data index and search engine, which are based on metadata extracted from various data sets in a range of repositories. DataMed is designed to be, for data, what PubMed has been for the scientific literature. DataMed supports the findability and accessibility of data sets. These characteristics—along with interoperability and reusability—compose the four FAIR principles to facilitate knowledge discovery in today’s big data–intensive science landscape.

Authors

  • Lucila Ohno-Machado
    University of California San Diego, La Jolla, CA.
  • Susanna-Assunta Sansone
    University of Oxford, Oxford, Oxfordshire, United Kingdom.
  • George Alter
    Department of History and Inter-University Consortium for Political and Social Research (ICPSR), Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA.
  • Ian Fore
    US National Institutes of Health, Bethesda, Maryland, USA.
  • Jeffrey Grethe
    Department of Neurosciences, University of California, San Diego, La Jolla, California, USA.
  • Hua Xu
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Alejandra Gonzalez-Beltran
    University of Oxford, Oxford, Oxfordshire, United Kingdom.
  • Philippe Rocca-Serra
    The University of Oxford, Oxford e-Research Centre, Oxford, UK.
  • Anupama E Gururaj
    The University of Texas School of Biomedical Informatics at Houston, Houston, TX, USA.
  • Elizabeth Bell
    Health System Department of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA.
  • Ergin Soysal
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston.
  • Nansu Zong
    Health System Department of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA.
  • Hyeon-Eui Kim
    Health System Department of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA.

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