Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.


NIH Big Data to Knowledge Initiative Releases RFA

March 13th, 2014 / in Uncategorized / by Shar Steed

bd2k_logoThe NIH Big Data to Knowledge initiative (BD2K, http://bd2k.nih.gov/) has announced the release of an RFA for software and methods development in biomedical Big Data Science: Development of Software and Analysis Methods for Biomedical Big Data in Targeted Areas of High Need (U01) (RFA-HG-14-020).

 

This opportunity targets four topic areas of high need for researchers working with biomedical Big Data,
  1. Data Compression/Reduction
  2. Data Provenance
  3. Data Visualization
  4. Data Wrangling
The receipt deadline for applications is June 19, 2014, with an optional letter of intent due May 19, 2014.


BD2K is a new major trans-NIH initiative that aims to support advances in data science, other quantitative sciences, policy, and training that are needed for the effective use of Big Data in biomedical research. Interested applicants are encouraged to join the listserv (on the BD2K homepage) to receive the most up-to-date information about BD2K events and funding opportunities.
NIH Big Data to Knowledge Initiative Releases RFA

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