The National Institutes of Health's Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data.
The National Institutes of Health's Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data.
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DOI：
10.1136/amiajnl-2014-002974
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发表时间：
2014-11
期刊：
影响因子：
--
通讯作者：
Green ED
中科院分区：
文献类型：
--
作者：
Margolis R;Derr L;Dunn M;Huerta M;Larkin J;Sheehan J;Guyer M;Green ED
生物医学研究已经并将继续在各个层面产生许多格式的大量数据(称为‘大数据’)。因此，越来越需要更好地理解和挖掘数据，以进一步了解和促进新的发现。美国国立卫生研究院(NIH)发起了一项从大数据到知识(BD2K)的倡议，以最大限度地利用生物医学大数据。BD2K试图更好地定义如何从数据中提取个人研究人员和整个研究社区的价值，创建提高数据效用所需的分析工具，提供下一代训练有素的人员，并开发可供所有利益相关者使用的数据科学概念和工具。
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.