Data Quality Scoring
Data Quality Scoring is a systematic metric-based method that quantifies the overall quality of a dataset by aggregating individual data quality dimension assessments into a single numerical score.
36
Publications
2.6K
Citations
133
Authors
69
Institutions
Publications per year
2017–2026
11
Parents
36
A data-driven approach to preprocessing Illumina 450K methylation array data
Ruth Pidsley, Chloe C. Y. Wong, Manuela Volta et al. · BMC Genomics · 2013 · 1.3K citations · Full text
Big Data Quality: A Quality Dimensions Evaluation
Ikbal Taleb, Hadeel T. El Kassabi, Mohamed Adel Serhani et al. · 2016 · 80 citations
1–5 of 36
133
United Arab Emirates University, United Arab Emirates
2 publications · 112 citations
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1–5 of 133
69

Concordia University
Montreal, Canada
2 h-index
4 publications
272 citations
United Arab Emirates University
Al Ain, United Arab Emirates
2 h-index
2 publications
112 citations
Indiana University
Bloomington, United States
1 h-index
3 publications
78 citations
Institut Scientifique de Santé Publique
Brussels, Belgium
1 h-index
8 publications
168 citations
Institute of Research and Innovation Parc Tauli
Sabadell, Spain
1 h-index
1 publications
36 citations
Universidad de Salamanca
Salamanca, Spain
1 h-index
1 publications
24 citations
Otto-von-Guericke-Universität Magdeburg
Magdeburg, Germany
1 h-index
2 publications
104 citations
California Southern University
Chandler, United States
1 h-index
1 publications
14 citations
1–8 of 69
2 publications · 428 citations
2
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LNCS · Book series · 1 publications · 28 citations
1
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1 publications · 36 citations
1
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1 publications · 17 citations
1
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1 publications · 10 citations
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