Journal article
Finding useful data across multiple biomedical data repositories using DataMed
- Abstract:
- The value of broadening searches for data across multiple repositories has been identified by the biomedical research community. As part of the 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 datasets in a range of repositories. DataMed is designed to be, for data, what PubMed has been for the scientific literature. DataMed supports Findability and Accessibility of datasets. These characteristics - along with Interoperability and Reusability - compose the four FAIR principles to facilitate knowledge discovery in today’s big data-intensive science landscape.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 667.0KB, Terms of use)
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- Publisher copy:
- 10.1038/ng.3864
Authors
- Publisher:
- Nature Publishing Group
- Journal:
- Nature Genetics More from this journal
- Volume:
- 49
- Issue:
- 6
- Pages:
- 816–819
- Publication date:
- 2017-05-01
- Acceptance date:
- 2017-04-13
- DOI:
- EISSN:
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1546-1718
- ISSN:
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1061-4036
- Pubs id:
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pubs:696693
- UUID:
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uuid:b9fb91ab-5db9-47ec-ba94-23553ce15917
- Local pid:
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pubs:696693
- Source identifiers:
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696693
- Deposit date:
-
2017-05-22
Terms of use
- Copyright holder:
- Nature America, Inc
- Copyright date:
- 2017
- Notes:
- © 2017 Nature America, Inc., part of Springer Nature. All rights reserved.
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