The mission of the NIH Big Data to Knowledge (BD2K) initiative is to enable biomedicali scientists to capitalize more fully on the Big Dataii being generated by
those research communities. With advances in technologies, these investigators are
increasingly generating and using large, complex, and diverse datasets.
Consequently, the biomedical research enterprise is increasingly becoming data-intensive and data-driven. However, the ability of researchers to locate, analyze,
and use Big Data (and more generally all biomedical and behavioral data) is often
limited for reasons related to access to relevant software and tools, expertise, and
other factors. BD2K aims to develop the new approaches, standards, methods,
tools, software, and competencies that will enhance the use of biomedical Big Data
by supporting research, implementation, and training in data science and other
relevant fields that will lead to:
- Appropriate access to shareable biomedical data through technologies,
approaches, and policies that enable and facilitate widespread data sharing,
discoverability, management, curation, and meaningful re-use;
- Development of and access to appropriate algorithms, methods, software,
and tools for all aspects of the use of Big Data, including data processing,
storage, analysis, integration, and visualization;
- Appropriate protections for privacy and intellectual property;
- Development of a sufficient cadre of researchers skilled in the science of Big
Data, in addition to elevating general competencies in data usage and
analysis across the biomedical research workforce.
Overall, the focus of the BD2K initiative is the development of innovative and
transforming approaches as well as tools for making Big Data and data science a
more prominent component of biomedical research.