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Scientific Data Repositories - Designing for a Moving Target

Summary: Adaptive architecture for scientific data warehouses grounded in RHESSI HEDC. It uniquely advocates separating generic from domain-specific code across all tiers, using a file-system data store with DBMS-managed metadata, and a scalable middle tier to handle evolving workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3445
Venue
SIGMOD
Year
2003
Pagerank
4.1945683e-05
Overall Rank
12,620 | 12.21%
DOI
-

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Rank Citing Paper Year Venue Pagerank
1,765 Efficient Lineage Tracking For Scientific Workflows 2008 SIGMOD 0.00010630348
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