Data Classification Levels
Data Classification Levels is a systematic framework within data management that categorizes information assets into hierarchically ordered classes based on their sensitivity, value, and criticality to organizational operations, thereby determining appropriate handling, access, and protection controls.
22
Publications
874
Citations
107
Authors
69
Institutions
Publications per year
2017–2026
6
Variants
Information Classification Levels
Parents
22
Genomes OnLine database (GOLD) v.7: updates and new features
Supratim Mukherjee, Dimitri Stamatis, Jon Bertsch et al. · Nucleic Acids Research · 2018 · 246 citations · Full text
1–5 of 22
107
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 107
69
University of Konstanz
Konstanz, Germany
1 h-index
1 publications
85 citations
National Security Agency
Fort George Meade, United States
1 h-index
1 publications
16 citations

Museums Victoria
Melbourne, Australia
1 h-index
1 publications
85 citations
Université de Lorraine
Nancy, France
1 h-index
1 publications
75 citations
Sydney Institute of Marine Science
Mosman, Australia
1 h-index
2 publications
170 citations

Macquarie University
Sydney, Australia
1 h-index
3 publications
255 citations
Institute for Cross-Disciplinary Physics and Complex Systems
Palma, Spain
1 h-index
1 publications
85 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
1 publications
75 citations
1–8 of 69
1 publications · 16 citations
1
h-index
1 publications · 85 citations
1
h-index
1 publications · 75 citations
1
h-index
1 publications · 22 citations
1
h-index
IJGDC · 1 publications · 17 citations
1
h-index
1–5