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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)

Paper ID
4021
Venue
SIGMOD
Year
2007
Pagerank
-
Overall Rank
13,803 | 5.30%
DOI
10.1145/1247480.1247638

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Authors

BibTeX Citation

@inproceedings{preece_sigmod07,
        title = {{Managing Information Quality in e-science: the Qurator workbench}},
        author = {Preece, Alun and Jin, Binling and Missier, Paolo and Embury, Suzanne and Greenwood, Mark},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247638},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247638},
        year = {2007}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
12,717 Quality Views: Capturing and Exploiting the User Perspective on Data Quality 2006 VLDB 5.093636e-05
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