Managing Information Quality in e-science: the Qurator workbench
Summary: Information Quality management workbench Qurator for e-science data; supports specification of personal quality models and derivation of data-acceptability criteria. Demo on a real bioinformatics workflow shows how quality models guide data selection from third-party repositories. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Alun Preece
- 2. Binling Jin
- 3. Paolo Missier
- 4. Suzanne Embury
- 5. Mark Greenwood
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,524 | Quality Views: Capturing and Exploiting the User Perspective on Data Quality | 2006 | VLDB | 4.1945683e-05 |
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