Alumni Project

Scientific Data Management Enabling Technology Center

The goal of this ISIC is to provide a coordinated framework for the unification, development, deployment and reuse of scientific data management software. The ISIC will target four main areas that are essential to scientific data management, emphasizing efficient management and data mining of very large, heterogeneous, distributed datasets. In addition, four tier levels of data have been identified: storage, file, dataset, and dataset federation. This “area and tier” framework is the basis for a management structure that will ensure the vertical integration of technologies in each area over these tier levels, as well as cross-utilization of area technologies. The result will be efficient, well-integrated, robust scientific data management software modules that will provide end-to-end solutions to multiple scientific applications.


$2.2M$2.3M$3.1M$3.2M $2.8M
* figures provided by Yukiko Sekine, DOE-HQ

Institutions Involved

  • Argonne National Laboratory
  • Lawrence Berkeley National Laboratory
  • Lawrence Livermore National Laboratory
  • Oak Ridge National Laboratory
  • Georgia Institute of Technology
  • North Carolina State University
  • Northwestern University
  • University of California San Diego

Principal Investigator

Ari Shoshani

Project Home Page





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