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Quality Views: Capturing and Exploiting the User Perspective on Data Quality

Summary: Proposes quality views to capture user-specific data quality criteria in life-science data, addressing lack of standard measures. Views are compiled and semi-automated in workflows, yielding a reusable quality toolkit demonstrated in Taverna and proteomics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9700
Venue
VLDB
Year
2006
Pagerank
5.093636e-05
Overall Rank
12,717 | 12.75%
DOI
-

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{missier_vldb06,
        title = {{Quality Views: Capturing and Exploiting the User Perspective on Data Quality}},
        author = {Missier, Paolo and Embury, Suzanne and Greenwood, Mark and Preece, Alun and Jin, Binling},
        journal = {PVLDB},
        series = {{VLDB} '06},
        pages = {977},
        year = {2006}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
13,803 Managing Information Quality in e-science: the Qurator workbench 2007 SIGMOD -
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
94 Potter's Wheel: An Interactive Data Cleaning System 2001 VLDB 0.00034616103
859 An Efficient SQL-based RDF Querying Scheme 2005 VLDB 0.00013561886
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