Scientific Data Management

The Scientific Data Management Research Group (SDM) develops tools for efficient access and storage management of massive scientific data sets. Terascale computing (performing trillions of calculations per second) and large scientific experiments produce enormous quantities of data that require effective and efficient management, a task that can distract scientists from focusing on their core research.

SDM researchers are working to provide a coordinated framework for the unification, development, deployment, and reuse of scientific data management software. In short, this will allow scientists to define requests for data on their own terms to tap into a transparent data management and access infrastructure.

Group Leader: Arie Shoshani

» Visit the SDM site.