Data Completeness Metrics
Data Completeness Metrics is a quantitative assessment framework used in immunization record systems to measure the extent to which required data elements are present and fully populated within a given dataset, distinguishing it from other data quality metrics by focusing specifically on the absence or presence of mandated information fields.
22
Publications
1.2K
Citations
127
Authors
102
Institutions
Publications per year
2017–2026
8
22
Quality and completeness of SNP databases
David Reich, Stacey B. Gabriel, David Altshuler · Nature Genetics · 2003 · 209 citations
A multiple view stereo benchmark for satellite imagery
Marc Bosch, Zachary Kurtz, Shea Hagstrom et al. · 2016 · 121 citations
M. Kathryn Brohman, Richard T. Watson, Gabriele Piccoli et al. · Communications of the ACM · 2003 · 84 citations
Computing, Information Systems, Management Information Systems +12
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Massachusetts General Hospital
Boston, United States
2 h-index
8 publications
391 citations
Harvard University
Cambridge, United States
2 h-index
5 publications
313 citations

Oak Ridge National Laboratory
Oak Ridge, United States
1 h-index
2 publications
216 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
1 h-index
2 publications
152 citations
Agence de la Biomédecine
Saint-Denis, France
1 h-index
1 publications
24 citations

Radboud University Medical Center
Nijmegen, The Netherlands
1 h-index
1 publications
24 citations
Manchester Academic Health Science Centre
Manchester, United Kingdom
1 h-index
1 publications
26 citations
Whitehead Institute for Biomedical Research
Cambridge, United States
1 h-index
3 publications
627 citations
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Repository · 2 publications · 44 citations
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1 publications · 31 citations
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1 publications · 57 citations
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1 publications · 26 citations
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CDI · 1 publications · 15 citations
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