Data Quality Management
Data Quality Management is a systematic framework within data governance that ensures the accuracy, completeness, consistency, reliability, and timeliness of data across its lifecycle by implementing processes, policies, and metrics to monitor, maintain, and improve the quality of data in data warehousing, data lakehouse architectures, and master data management environments.
490
Publications
34.7K
Citations
1.5K
Authors
631
Institutions
Publications per year
2017–2026
176
490
Accuracy and quality of massively parallel DNA pyrosequencing
Susan M. Huse, Julie A. Huber, Hilary G. Morrison et al. · Genome biology · 2007 · 1.3K citations · Full text
Life Sciences, Biology, Microbiology +17
1–5 of 490
1.5K
12
h-index
11
h-index
10
h-index
9
h-index
8
h-index
1–5 of 1.5K
631
University of Castilla-La Mancha
Ciudad Real, Spain
12 h-index
28 publications
785 citations

University of St.Gallen
Saint Gallen, Switzerland
11 h-index
23 publications
1.8K citations
Massachusetts Institute of Technology
Cambridge, United States
8 h-index
11 publications
3.3K citations

University of Milano-Bicocca
Milan, Italy
8 h-index
19 publications
775 citations
Northeastern University
Boston, United States
6 h-index
6 publications
594 citations

Old Dominion University
Norfolk, United States
5 h-index
7 publications
645 citations
Ben-Gurion University of the Negev
Beersheba, Israel
5 h-index
6 publications
282 citations

University of Indonesia
Depok, Indonesia
5 h-index
21 publications
282 citations
1–8 of 631
JDIQ · 11 publications · 1.2K citations
11
h-index
10 publications · 680 citations
10
h-index
JAIS · 8 publications · 239 citations
8
h-index
7 publications · 215 citations
7
h-index
6 publications · 153 citations
6
h-index
1–5