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: 9509
Venue: VLDB
Year: 2006
Pagerank: 4.1945683e-05
Overall Rank: 12,524 | 12.88%
DOI: -

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
13,603	Managing Information Quality in e-science: the Qurator workbench	2007	SIGMOD	-

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
112	Potter's Wheel: An Interactive Data Cleaning System	2001	VLDB	0.00047045036
872	An Efficient SQL-based RDF Querying Scheme	2005	VLDB	0.00015759968

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