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)
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Authors
- 1. Bill Howe
- 2. David Maier
- 3. Laura Bright
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,985 | A First Tutorial on Dataspaces | 2008 | VLDB | 6.5626153e-05 |
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