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Data Quality and Management
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on data quality assessment, improvement, and related techniques such as record linkage, data cleaning, entity resolution, information quality benchmarks, and privacy-preserving record linkage. It also covers topics like name disambiguation, data integration, and the challenges of data quality in the era of big data.
65
Works
IDs:OpenAlex
How has Data Quality and Management's publication output changed over time?
ScholarIQpublication output · 2003–2022
Output grew0% over the shown period — from 1 works in 2003 to 1 in 2022.
1
2
1
1
2
4
1
2
1
200320122013201420172019202020212022
What are the most-cited papers on Data Quality and Management?
ScholarIQmost cited works
The rise of “big data” on cloud computing: Review and open research issues
Mohamed Hashem, Ibrar Yaqoob, Nor Badrul Anuar, Salimah Mokhtar, Abdullah Gani, Samee U. Khan
S193006928. 20142,615 Citations
A Taxonomy of Dirty Data
Won Bae Kim, Byoungju Choi, Eui-Kyeong Hong, Soo‐Kyung Kim, Doheon Lee
S121920818. 2003300 Citations
Large-scale linked data integration using probabilistic reasoning and crowdsourcing
Gianluca Demartini, Djellel Difallah, Philippe Cudré-Mauroux
S78926909. 201386 Citations
Data quality in ETL process: A preliminary study
Manel Souibgui, Faten Atigui, Saloua Zammali, Samira Si-Saïd Cherfi, Sadok Ben Yahia
Procedia Computer Science. 201986 CitationsOPEN ACCESS
Where is Data Quality and Management research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Data Quality and Management is open access?
ScholarIQopen access share
47%OPEN ACCESS
Gold
40%
Green
7%
Hybrid
0%
Bronze
0%
Closed
53%
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