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: he422116ba1e71faa
Venue: SIGMOD
Year: 2003
Pagerank: 0.00010439963
Overall Rank: 1,509 | 89.86%
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
262	Record Linkage: Similarity Measures and Algorithms	2006	SIGMOD	0.00022821392
1,043	Data Cleaning: Overview and Emerging Challenges	2016	SIGMOD	0.00012335114
2,462	DBLife: A Community Information Management Platform for the Database Research Community	2007	CIDR	8.4317833e-05
9,761	Approximate Joins: Concepts and Techniques	2005	VLDB	5.1349531e-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

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	5,071	Data Collection and Quality Challenges for Deep Learning	2020	VLDB
2	3,263	Automatic Data Repair: Are We Ready to Deploy?	2024	VLDB
3	8,119	The Need for Data Quality	1993	VLDB
4	13,107	Systematic Development of Data Mining-Based Data Quality Tools	2003	VLDB
5	649	Discovering Data Quality Rules	2008	VLDB
6	526	Improving Data Quality: Consistency and Accuracy	2007	VLDB
7	4,998	Descriptive and Prescriptive Data Cleaning	2014	SIGMOD
8	1,344	Detecting Data Errors: Where are we and what needs to be done?	2016	VLDB
9	1,043	Data Cleaning: Overview and Emerging Challenges	2016	SIGMOD
10	6,381	Qualitative Data Cleaning	2016	VLDB