Finding useful data across multiple biomedical data repositories using DataMed

Published

Journal Article (Review)

© 2017 Nature America, Inc., part of Springer Nature. All rights reserved. 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.

Full Text

Duke Authors

Cited Authors

  • Ohno-Machado, L; Sansone, SA; Alter, G; Fore, I; Grethe, J; Xu, H; Gonzalez-Beltran, A; Rocca-Serra, P; Gururaj, AE; Bell, E; Soysal, E; Zong, N; Kim, HE

Published Date

  • June 1, 2017

Published In

Volume / Issue

  • 49 / 6

Start / End Page

  • 816 - 819

Electronic International Standard Serial Number (EISSN)

  • 1546-1718

International Standard Serial Number (ISSN)

  • 1061-4036

Digital Object Identifier (DOI)

  • 10.1038/ng.3864

Citation Source

  • Scopus