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February 22, 2013

Archived: Give Input on ‘Big Data’ Training Needs

To maximize utilization of the vast amounts of biomedical data and information that are being amassed, NIH has started to develop a series of activities grouped under its Big Data to Knowledge (BD2K) initiative. One of the efforts focuses on ways to train the workforce needed to manage, access, integrate and analyze large, complex datasets. As a first step toward developing a set of recommendations, a BD2K working group has issued a request for information (RFI) on the short- and long-term training needs of individuals who work with biomedical data. The group is also seeking examples of programs or strategies to cross-train scientists at all career levels as well as comments on evaluating workforce skills and knowledge and developing a diverse research workforce. Your input, which should be submitted by March 15, 2013, will inform discussions during an upcoming BD2K planning workshop on training and education needs.

About the Author

Scott Somers

Before his retirement in December 2019, Scott managed grants that examine the body’s responses to burns, traumatic injuries, and surgery at all levels—from molecular and cellular changes to the body-wide reactions seen in critically ill patients.