Arie Shoshani of Berkeley Lab will lead a new five-year Department of Energy project to help scientists extract insights from massive research datasets.
As scientists around the world address some of society's biggest challenges, they increasingly rely on tools ranging from powerful supercomputers to one-of-a-kind experimental facilities to dedicated high-bandwidth research networks. But whether they are investigating cleaner sources of energy, studying how to treat diseases, improve energy efficiency, understand climate change or address environmental issues, the scientists all face a common problem: massive amounts of data which must be stored, shared, analyzed and understood. And the amount of data continues to grow - scientists who already are falling behind are in danger of being engulfed by massive datasets. Today Energy Secretary Steven Chu announced a $25 million five-year initiative to help scientists better extract insights from today's increasingly massive research datasets, the Scalable Data Management, Analysis, and Visualization (SDAV) Institute. SDAV will be funded through DOE's Scientific Discovery through Advanced Computing (SciDAC) program and led by Arie Shoshani of Lawrence Berkeley National Laboratory (Berkeley Lab). As one of the nation's leading funders of basic scientific research, the Department of Energy Office of Science has a vested interested in helping researchers effectively manage and use these large datasets. SDAV was formally announced March 29 as part of the Obama Administration's "Big Data Research and Development Initiative," which was announced this morning and takes aim at improving the nation's ability to extract knowledge and insights from large and complex collections of digital data.
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