"The National Institutes of Health is launching Big Data to Knowledge (BD2K), an initiative to address how best to manage and utilize the large amounts of biomedical data that new technologies can generate (http://www.nih.gov/news/health/dec2012/od-07.htm).

 

... The era of ‘Big Data’ has arrived for biomedical research, bringing with it immense challenges as well as spectacular opportunities. In this context, ‘Big Data’ is meant to reflect the challenges facing biomedical researchers of all stripes in accessing, organizing, analyzing, and integrating datasets that are increasingly larger, more complex, and more numerous. These data are also of diverse types that must be integrated, including imaging, phenotypic, molecular, exposure, health, and many other types of biomedical, behavioral and clinical data. While used here for convenience, the phrase ‘Big Data’ is intended to be shorthand for the reality that biomedical research has become a data-intensive enterprise.

 

Advances in biomedical sciences using Big Data will require more scientists with appropriate expertise and skills, some of whom will be critical members of interdisciplinary teams. NIH is interested in increasing funding for long- and short-term training at all professional levels, in areas essential for accessing, organizing, analyzing, and integrating biomedical Big Data (e.g., computational biology, biostatistics, bioinformatics, the quantitative sciences, and related areas)." - from source: http://grants.nih.gov