The White House announced its plan to pursue research and development efforts in order to mine big data at the end of March.
Six agencies said they planned to invest in R&D initiatives, including the National Science Foundation, the National Institutes of Health, the U.S. Geological Survey, the White House’s Office and Science and Technology Policy, the Defense Department and the Energy Department.
While the Pentagon said it planned to invest in big data efforts to apply to autonomous systems, the Energy Department is planning to develop big data sifting tools to make scientific research easier.
DOE’s Argonne National Laboratory recently announced it received part of a $25 million grant from the Energy Office of Science in order to pursue data extracting methods.
Researchers in Argonne’s mathematics and computing science division will receive $3.4 million over five years to research computing methods to make the tsunami of data related to scientific research more manageable.
Robert Ross, Argonne computer scientist and deputy director of DOE’s Scalable Data Management, Analysis, and Visualization Institute, said his newly created SDAV team will develop data sifting tools and software.
Ross said his team wants to give scientists the tools to use their time for the department’s scientific discovery and investigation.
The institute will focus on developing methods to manage, analyze and visualize multi-scale data sets.
Argonne said the big data research team will collaborate with the National Energy Research Scientific Computing Center and the Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory.
SDAV will tap those three supercomputing facilities, industry, agencies and universities for aid and also hold educational sessions for other researchers, according to the announcement.