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.

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Acknowledgements

This project is funded by grant U24AI117966 from NIAID, NIH, as part of the BD2K program. The co-authors, who are the lead investigators and chairs/co-chairs of the core activities, thank all contributors to the bioCADDIE consortium and list them in the Supplementary Note in alphabetical order within each activity group (each name appears only once even though many people participated in different activities).

Author information

Author notes

    • Lucila Ohno-Machado
    • , Susanna-Assunta Sansone
    • , George Alter
    • , Ian Fore
    • , Jeffrey Grethe
    • , Hua Xu
    •  & Hyeon-eui Kim

    These authors contributed equally to this work.

Affiliations

  1. Health System Department of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA.

    • Lucila Ohno-Machado
    • , Elizabeth Bell
    • , Nansu Zong
    •  & Hyeon-eui Kim
  2. Veterans Administration San Diego Healthcare System, San Diego, California, USA.

    • Lucila Ohno-Machado
  3. e-Research Centre, University of Oxford, Oxford, UK.

    • Susanna-Assunta Sansone
    • , Alejandra Gonzalez-Beltran
    •  & Philippe Rocca-Serra
  4. Department of History and Inter-University Consortium for Political and Social Research (ICPSR), Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA.

    • George Alter
  5. US National Institutes of Health, Bethesda, Maryland, USA.

    • Ian Fore
  6. Department of Neurosciences, University of California, San Diego, La Jolla, California, USA.

    • Jeffrey Grethe
  7. School of Biomedical Informatics,University of Texas Health Science Center at Houston, Houston, Texas, USA.

    • Hua Xu
    • , Anupama E Gururaj
    •  & Ergin Soysal

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Competing interests

The authors declare no competing financial interests.

Corresponding author

Correspondence to Lucila Ohno-Machado.

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DOI

https://doi.org/10.1038/ng.3864

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