Data Quality Comparison
Data Quality Comparison is a methodological framework within data quality visualization that systematically evaluates and contrasts the integrity, accuracy, completeness, and consistency attributes of datasets across different sources or time points to identify variations in data quality levels.
73
Publications
3.5K
Citations
338
Authors
159
Institutions
Publications per year
2017–2026
34
Parents
73
Kenneth Holmqvist, Marcus Nyström, Fiona Mulvey · 2012 · 347 citations
Medicine, Optometry, Vision Science +16
Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO
Michael Färber, Frederic Bartscherer, Carsten Menne et al. · Semantic Web · 2017 · 344 citations · Full text
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159
University of California San Diego
San Diego, United States
2 h-index
7 publications
237 citations
University of Florida
Gainesville, United States
2 h-index
3 publications
93 citations

United States National Library of Medicine
Bethesda, United States
2 h-index
2 publications
83 citations

Children's Hospital of Philadelphia
Philadelphia, United States
2 h-index
4 publications
219 citations
Yale University
New Haven, United States
2 h-index
5 publications
77 citations
The University of Texas at Austin
Austin, United States
2 h-index
6 publications
93 citations
University of Florida Health
Gainesville, United States
2 h-index
7 publications
225 citations

Ajou University
Suwon, South Korea
2 h-index
3 publications
98 citations
1–8 of 159
2 publications · 26 citations
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1 publications · 51 citations
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MRM · 1 publications · 72 citations
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1 publications · 18 citations
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Book series · 1 publications · 15 citations
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