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: 3560
Venue: SIGMOD
Year: 2003
Pagerank: 0.00010631363
Overall Rank: 1,484 | 89.83%
DOI: 10.1145/872757.872875

Incoming Non-self Citations Over Time

Authors

1. Theodore Johnson (AT&T)
2. Tamraparni Dasu (AT&T)

BibTeX Citation

@inproceedings{johnson_sigmod03,
        title = {{Data Quality and Data Cleaning: An Overview}},
        author = {Johnson, Theodore and Dasu, Tamraparni},
        series = {{SIGMOD} '03},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/872757.872875},
        url = {https://dl.acm.org/doi/10.1145/872757.872875},
        year = {2003}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
254	Record Linkage: Similarity Measures and Algorithms	2006	SIGMOD	0.00023199211
1,323	Data Cleaning: Overview and Emerging Challenges	2016	SIGMOD	0.00011152602
2,405	DBLife: A Community Information Management Platform for the Database Research Community	2007	CIDR	8.6217909e-05
9,584	Approximate Joins: Concepts and Techniques	2005	VLDB	5.2528121e-05

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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