Database Completeness Assessment is a formal method in the domain of data quality evaluation that systematically identifies and measures the extent to which a database contains all required, expected, or relevant data elements within a specified context or domain.
27
Publications
1.3K
Citations
85
Authors
50
Institutions
Publications per year
2017–2026
4
Parents
Publications
27
Bacterial flora-typing with targeted, chip-based Pyrosequencing
Andreas Sundquist, Saharnaz Bigdeli, Roxana Jalili et al. · BMC Microbiology · 2007 · 225 citations · Full text
1–5 of 27
Authors
85
- LL
3
h-index
- PG
2
h-index
- MC
1
h-index
- MP
1
h-index
- JNJoanna Nowak Da Costa
Military University of Technology in Warsaw, Poland
1 publications · 21 citations
1
h-index
1–5 of 85
Institutions
50
University of Edinburgh
Edinburgh, United Kingdom
2 h-index
4 publications
114 citations
Free University of Bozen-Bolzano
Bolzano, Italy
1 h-index
2 publications
116 citations
Institut de Recherche pour le Développement
Marseille, France
1 h-index
4 publications
616 citations
Stanford University
Stanford, United States
1 h-index
10 publications
2.3K citations
Universidad de Granada
Granada, Spain
1 h-index
1 publications
15 citations
University of Wisconsin–Madison
Madison, United States
1 h-index
1 publications
22 citations
Ifremer
Brest, France
1 h-index
4 publications
616 citations
Chaoyang University of Technology
Taichung, Taiwan
1 h-index
2 publications
24 citations
1–8 of 50
Venues
- BMC Research Notes
1 publications · 15 citations
1
h-index
- Data & Knowledge Engineering
DKE · 1 publications · 10 citations
1
h-index
- International Conference on Lightning Protection
Conference · 1 publications · 27 citations
1
h-index
- Proceedings of the VLDB Endowment
PVLDB · 1 publications · 58 citations
1
h-index
- Protein Science
PS · 1 publications · 153 citations
1
h-index
1–5