Data Quality Accuracy
Data Quality Accuracy is a data quality dimension that denotes the extent to which data values correctly represent the true or real-world entities they are intended to model, distinguishing it from other data quality dimensions by its focus on correctness and truthfulness relative to a reference standard.
100
Publications
4.9K
Citations
464
Authors
248
Institutions
Publications per year
2017–2026
46
Parents
100
1–5 of 100
464
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248
University College London
London, United Kingdom
3 h-index
10 publications
1.6K citations
Auburn University
Auburn, United States
3 h-index
9 publications
537 citations

Monash University
Melbourne, Australia
3 h-index
3 publications
88 citations
Arizona State University
Tempe, United States
2 h-index
6 publications
266 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
5 publications
99 citations
Harvard University
Cambridge, United States
2 h-index
9 publications
182 citations

The University of Melbourne
Melbourne, Australia
2 h-index
2 publications
71 citations

Masaryk University
Brno, Czechia
2 h-index
4 publications
258 citations
1–8 of 248
Repository · 3 publications · 49 citations
3
h-index
3 publications · 232 citations
3
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JNC · 2 publications · 259 citations
2
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TMCCI · 2 publications · 74 citations
2
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2 publications · 178 citations
2
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1–5