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DOE Data Management Workshop Application Science Panel 1 March 16, 2004 Ray Bair, chair Argonne National Laboratory Office of Science U.S. Department of Energy A U.S. Department of Energy Office of Science Laboratory Operated by The University of Chicago Charge to Applications Panelists • • • • A brief (one slide) introduction to the science Why the science has data-management challenges Quantitative challenges in relevant areas, now and in 5 years - Volume of data - Bandwidth of data storage and access - Access patterns and data mining needs - File systems - Need for transport and remote replication - Metadata management - Heterogeneity and data transformation - Ontology, annotation, provenance Areas where major improvements in data and information management could open up new possibilities for the science Pioneering Science and Technology Office of Science U.S. Department of Energy 2 Application Science Panel 1 • • • Janet Jacobsen Ian S. Anderson Nanoscience requirements and opportunities • David Schissel Wei-Li Lee Fusion requirements and opportunities • Doug Swesty John Blondin Astrophysics - simulation requirements and opportunities • Kem Cook Astrophysics - observation requirements and opportunities • Discussion Similarities and differences in needs Data Management in the GTL Program George Michaels High-throughput biology data drivers 3 Pioneering Science and Technology Office of Science U.S. Department of Energy Discussion • • • For your application area what are the two most critical data management barriers to meet program objectives in the next 5 years? - e.g., technology, structure, management, infrastructure, social Over and above these, what would be required to enable dramatically new science? For your perspective, what other domain has similar data management requirements? 4 Pioneering Science and Technology Office of Science U.S. Department of Energy