The National Institutes of Health's Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data

被引：174

作者：

Margolis, Ronald ^{[1
]}

Derr, Leslie ^{[2
]}

Dunn, Michelle ^{[3
]}

Huerta, Michael ^{[4
]}

Larkin, Jennie ^{[5
]}

Sheehan, Jerry ^{[4
]}

Guyer, Mark ^{[6
]}

Green, Eric D. ^{[6
]}

机构：

[1] NIDDK, NIH, Bethesda, MD 20892 USA

[2] NIH, Off Director, Bethesda, MD 20892 USA

[3] NCI, NIH, Bethesda, MD 20892 USA

[4] NIH, Natl Lib Med, Bethesda, MD 20892 USA

[5] NHLBI, NIH, Bethesda, MD 20892 USA

[6] NHGRI, NIH, Bethesda, MD 20892 USA

来源：

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION | 2014年 / 21卷 / 06期

关键词：

D O I：

10.1136/amiajnl-2014-002974

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Biomedical research has and will continue to generate large amounts of data (termed 'big data') in many formats and at all levels. Consequently, there is an increasing need to better understand and mine the data to further knowledge and foster new discovery. The National Institutes of Health (NIH) has initiated a Big Data to Knowledge (BD2K) initiative to maximize the use of biomedical big data. BD2K seeks to better define how to extract value from the data, both for the individual investigator and the overall research community, create the analytic tools needed to enhance utility of the data, provide the next generation of trained personnel, and develop data science concepts and tools that can be made available to all stakeholders.

引用

页码：957 / 958

页数：2