Microsoft Rolls Out Tools to Help Scientists (and Eventually Companies) Manage Data Deluge

From the seas to the stars, Microsoft Research is trying to increase its impact. The Redmond, WA-based computer science research organization is releasing new software tools aimed at helping scientists manage and visualize huge amounts of information, and make discoveries in fields as diverse as astronomy and oceanography. The announcement of the free tools, called Project Trident, is being made today at the 10th annual Microsoft Research Faculty Summit in Redmond.

Everyone knows information overload is a huge issue. Just try being a scientist these days. With increasing amounts of data available from the Internet, satellites, telescopes, cameras, gene sequencers, and networked sensors, researchers—and organizations in general—are looking for ways to cut through the deluge and focus faster on doing the analysis and getting results, rather than sorting through data.

It’s also a problem faced by big companies, financial analysts, and medical institutions. So, ultimately, Project Trident is not aimed at spearing purely scientific research problems—it’s software that also could yield big results for business down the road. “If we look back at the challenges faced in business, scientists were facing them years if not decades before,” says Roger Barga, a Microsoft researcher and principal architect on Project Trident. “We’re getting an early look at what our business customers will expect in their products in 3-5 years. It’s pushing another Microsoft [Windows] platform into new areas.”

Project Trident started around 2006, when Barga began collaborating with legendary Microsoft researcher Jim Gray (who was lost at sea in January 2007) on tools to help oceanographers make sense of volumes of data on things like temperature, salinity, and the physics of seafloor hydrothermal vents. “There’s a clear understanding of the science and how to put instruments in the ocean, but there’s a gap in how to convert data streaming in from the ocean to useful analysis,” Barga says. “Jim had this vision of

Author: Gregory T. Huang

Greg is a veteran journalist who has covered a wide range of science, technology, and business. As former editor in chief, he overaw daily news, features, and events across Xconomy's national network. Before joining Xconomy, he was a features editor at New Scientist magazine, where he edited and wrote articles on physics, technology, and neuroscience. Previously he was senior writer at Technology Review, where he reported on emerging technologies, R&D, and advances in computing, robotics, and applied physics. His writing has also appeared in Wired, Nature, and The Atlantic Monthly’s website. He was named a New York Times professional fellow in 2003. Greg is the co-author of Guanxi (Simon & Schuster, 2006), about Microsoft in China and the global competition for talent and technology. Before becoming a journalist, he did research at MIT’s Artificial Intelligence Lab. He has published 20 papers in scientific journals and conferences and spoken on innovation at Adobe, Amazon, eBay, Google, HP, Microsoft, Yahoo, and other organizations. He has a Master’s and Ph.D. in electrical engineering and computer science from MIT, and a B.S. in electrical engineering from the University of Illinois, Urbana-Champaign.