Data Quality Uncertainty
Data Quality Uncertainty is a data quality construct that characterizes the degree of doubt or imprecision associated with the correctness, completeness, and reliability of data values within a given context.
29
Publications
2.7K
Citations
100
Authors
74
Institutions
Publications per year
2017–2026
9
Parents
29
Uncertainty information in climate data records from Earth observation
Christopher J. Merchant, Frank Paul, Thomas Popp et al. · Earth system science data · 2017 · 191 citations · Full text
1–5 of 29
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Grassland, Soil and Water Research Laboratory, United States
2 publications · 496 citations
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1–5 of 100
74
University of Washington
Seattle, United States
2 h-index
4 publications
191 citations

Deutscher Wetterdienst
Offenbach, Germany
2 h-index
2 publications
217 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
2 h-index
2 publications
217 citations
Nansen Environmental and Remote Sensing Center
Bergen, Norway
2 h-index
2 publications
217 citations

National Bureau of Economic Research
Cambridge, United States
2 h-index
4 publications
111 citations

University of Bristol
Bristol, United Kingdom
2 h-index
2 publications
547 citations
University of Zurich
Zurich, Switzerland
2 h-index
2 publications
217 citations
UCLouvain
Louvain-la-Neuve, Belgium
2 h-index
4 publications
434 citations
1–8 of 74
PSR · 1 publications · 11 citations
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1 publications · 31 citations
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1 publications · 174 citations
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JEEG · 1 publications · 111 citations
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IJAEIS · 1 publications · 27 citations
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