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)
Incoming Non-self Citations Over Time
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Authors
- 1. Bill Howe (Portland State University)
- 2. David Maier (Portland State University)
- 3. Laura Bright (Thetus Corporation)
BibTeX Citation
@inproceedings{howe_cidr07,
address = {Amsterdam, Netherlands},
series = {{CIDR} '07},
title = {{Smoothing the ROI Curve for Scientific Data Management Applications}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Howe, Bill and Maier, David and Bright, Laura},
year = {2007}
}Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,389 | A First Tutorial on Dataspaces | 2008 | VLDB | 6.2346998e-05 |
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