Nature GeneticsBioinformaticsPeer-reviewed journal article
DataMed: Finding useful data across multiple biomedical data repositories
Lucila Ohno-machado AiD, Susanna‐Assunta SansoneiD, George Charles AlteriD, Ian ForeiD, Jeffrey Sean GretheiD, Hua XuiD, Alejandra N Gonzalez-BeltraniD, Philippe Rocca‐SerraiD, Anupama E. GururajiD, Elizabeth A. BelliD, Ergin SoysaliD, Nansu ZongiD, Hyeoneui KimiD
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 todays big data-intensive science landscape.
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