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Smoothing the ROI Curve for Scientific Data Management Applications

Summary: Argues that monolithic DBMSes yield a 'crooked' ROI curve ill‑suited to scientific repositories with petabyte scale, non‑standard types, rapid change, and diverse needs. Proposes lightweight, pragmatic strategies to modularize/loosen DB assumptions and demonstrates them via data services for an Environmental Observation and Forecasting System. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
75
Venue
CIDR
Year
2007
Pagerank
-
Overall Rank
13,581 | 5.52%
DOI
-

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3,985 A First Tutorial on Dataspaces 2008 VLDB 6.5626153e-05
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