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Data Quality and Data Cleaning: An Overview

Summary: Data quality and cleaning overview; poor data distorts findings and disrupts operations, with 80–90% of a data project spent ensuring reliability. Multidisciplinary approach—management science, statistics, database research, and metadata management—proposes updated metrics, a case study, and directions for future DB research. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3499
Venue
SIGMOD
Year
2003
Pagerank
0.00021473523
Overall Rank
508 | 96.48%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
321 Record Linkage: Similarity Measures and Algorithms 2006 SIGMOD 0.00027524716
1,629 Data Cleaning: Overview and Emerging Challenges 2016 SIGMOD 0.00011073148
2,071 DBLife: A Community Information Management Platform for the Database Research Community 2007 CIDR 9.6311384e-05
9,436 Approximate Joins: Concepts and Techniques 2005 VLDB 4.3399748e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank Cited Paper Year Venue Pagerank
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