To capitalize on the opportunities presented by advances in data science, the National Institutes of Health (NIH) is developing a Strategic Plan for Data Science. This plan describes NIH’s overarching goals, strategic objectives, and implementation tactics for promoting the modernization of the NIH-funded biomedical data science ecosystem. As part of the planning process, NIH has published a draft of the strategic plan, along with a Request for Information (RFI) to seek input from stakeholders, including members of the scientific community, academic institutions, the private sector, health professionals, professional societies, advocacy groups, patient communities, as well as other interested members of the public.
Biomedical science and healthcare research are generating increasingly large and complex sets of data, from many different subfields. …. In February of 2013 I wrote about NIH’s request for community input on how to best prepare the research workforce to capitalize on big data. Since then, the BD2K group has announced its flagship programs, and welcomed Philip E. Bourne as NIH’s first Associate Director for Data Science. Now, I’m excited to update you on the important research training programs that are part of the BD2K initiative. ….
In addition to all the biomedical workforce activity following December’s Advisory Committee to the Director (ACD) meeting, other ACD working group initiatives have also been busy launching their flagship programs, as well. …. Most recently, NIH announced the flagship program for supporting challenges related to “Big Data” ….
In December I wrote about the exciting announcements presented at the Advisory Committee to the Director (ACD) meeting to address their recommendations on how to best support the future of biomedical research.
At the Advisory Committee to the Director’s meeting today and yesterday, NIH director Francis Collins, NIH deputy director Lawrence Tabak, and I presented some exciting new initiatives in support of the future of biomedical research.