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US Big Data Strategy: Budgets for Grants and Spending

Derrick Harris for GigaOm:

Grants: About $73 million has been specifically laid out for research grants, with the National Science Foundation chipping in about $13 million across three projects, and the Department of Defense ponying up $60 million. The U.S. Geological Survey will also be announcing a list of grantees working on big data projects, although no specific monetary amounts are listed.

Spending: If there’s one thing the DoD knows how to do, it’s spend, and it will be doing a lot of it on big data — $250 million a year. DARPA alone will be investing $25 million annually for four years to develop XDATA, a program that aims “to develop computational techniques and software tools for analyzing large volumes of data, both semi-structured (e.g., tabular, relational, categorical, meta-data) and unstructured (e.g., text documents, message traffic).” The Department of Energy is getting in on the big data frenzy, too, investing $25 million to develop Scalable Data Management, Analysis and Visualization Institute, which aims to develop techniques for visualizing the incredible amounts of data generated by the department’s team of supercomputers.

Any other countries having a strategy or at least planning budgets for big data?

Original title and link: US Big Data Strategy: Budgets for Grants and Spending (NoSQL database©myNoSQL)