PT  - JOURNAL ARTICLE
AU  - L Ohno-Machado
AU  - SA Sansone
AU  - G Alter
AU  - I Fore
AU  - J Grethe
AU  - H Xu
AU  - Alejandra Gonzalez-Beltran
AU  - Philippe Rocca-Serra
AU  - Ergin Soysal
AU  - Nansu Zong
AU  - H Kim
TI  - DataMed: Finding useful data across multiple biomedical data repositories
AID  - 10.1101/094888
DP  - 2016 Jan 01
TA  - bioRxiv
PG  - 094888
4099  - http://biorxiv.org/content/early/2016/12/17/094888.short
4100  - http://biorxiv.org/content/early/2016/12/17/094888.full
AB  - 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.