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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