As data piles up fast in most scientific fields, A team of researchers led by Yolanda Gil at the University of Southern California's Information Sciences Institute has been awarded $13.8 million to build a prototype automated scientific workflow system that could channel the data streams for endeavors as diverse as high-throughput screening, climatic and seismic studies, and particle physics. "Our ability to gather data is surpassing our ability to analyze it. Our data warehouses are becoming data graveyards," Gil says. The $13.8m Windward project will bring to the analysis of scientific problems an approach similar to that of industrial engineering, where engineers create optimal workflows to bring together raw materials and machinery in the most efficient fashion to create product.