Reference Data Quality
Reference Data Quality is a metric that evaluates the accuracy, completeness, consistency, and reliability of standardized patient data used as a benchmark for verifying and improving the precision of patient identity matching processes.
269
Publications
28.6K
Citations
1.6K
Authors
654
Institutions
Publications per year
2017–2026
97
Parents
269
Identifying and removing haplotypic duplication in primary genome assemblies
Dengfeng Guan, Shane McCarthy, Jonathan Wood et al. · Bioinformatics · 2020 · 2.8K citations · Full text
Blockchain technology overview
Dylan Yaga, Peter Mell, Nik Roby et al. · 2018 · 1.5K citations · Full text
Fergal J. Martin, M Ridwan Amode, Alisha Aneja et al. · Nucleic Acids Research · 2022 · 1.1K citations · Full text
1–5 of 269
1.6K
4
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 1.6K
654

University of British Columbia
Vancouver, Canada
8 h-index
17 publications
8.1K citations

University of Nottingham
Nottingham, United Kingdom
6 h-index
8 publications
1K citations

Agricultural Research Service
Washington, United States
5 h-index
10 publications
408 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
65 publications
13.4K citations

Wellcome Sanger Institute
Cambridge, United Kingdom
5 h-index
11 publications
8.9K citations
Universität Hamburg
Hamburg, Germany
5 h-index
9 publications
437 citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
26 publications
12K citations

Imperial College London
London, United Kingdom
4 h-index
9 publications
1.7K citations
1–8 of 654
Repository · 7 publications · 162 citations
6
h-index
5 publications · 1K citations
5
h-index
JCTC · 5 publications · 1.3K citations
5
h-index
AJCN · 5 publications · 1.7K citations
5
h-index
5 publications · 210 citations
5
h-index
1–5