Finding useful data across multiple biomedical data repositories using DataMed
- 26 May 2017
- journal article
- research article
- Published by Springer Science and Business Media LLC in Nature Genetics
- Vol. 49 (6), 816-819
- https://doi.org/10.1038/ng.3864
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.This publication has 12 references indexed in Scilit:
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