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Congresswoman Debbie Dingell (MI-12) today announced that the University of Michigan will receive a $2,565,643 research grant from the National Science Foundation (NSF) to create tools to capture data transformations from statistical analysis packages that will reduce the costs of analyzing large amounts of data.

“The University of Michigan is leading the way on research related to metadata and the analytic opportunities contained within it,” said Dingell. “This NSF funding will help create tools to capture data transformations from statistical analysis packages, create efficiencies, and reduce the cost of data collection.” 

This $2,565,643 NSF award will focus on two research communities (social and behavioral sciences and earth observation sciences) with strong metadata standards and heavy reliance on statistical analysis software, but the approach is generalizable to other scientific domains.

The National Science Foundation supports research, innovation, and discovery at America’s colleges and universities by distributing federal grants. On average, NSF awards about 11,000 new grants each year to individuals or small research groups after a rigorous review process.