Critical Data Prioritization is a data management framework that systematically identifies and classifies data assets according to their relative importance and recovery requirements in support of Recovery Point Objectives, distinguishing it from general data classification methods by its specific alignment with business continuity and data loss tolerance thresholds.
18
Publications
517
Citations
57
Authors
37
Institutions
Publications per year
2017–2026
4
Parents
Publications
18
A decision tree for assessing effects from exposures to multiple substances
Paul S. Price, Ellen Dhein, Mick Hamer et al. · Environmental Sciences Europe · 2012 · 56 citations · Full text
Differentiated Data Persistence with Priority Random Linear Codes
Yunfeng Lin, Baochun Li, Ben Liang · 2007 · 54 citations
1–5 of 18
Authors
57
- ME
3
h-index
- IA
3
h-index
- HT
3
h-index
- BL
2
h-index
- BL
2
h-index
1–5 of 57
Institutions
37
University of Ottawa
Ottawa, Canada
3 h-index
9 publications
339 citations
University of Toronto
Toronto, Canada
2 h-index
6 publications
237 citations
Nara Institute of Science and Technology
Ikoma, Japan
1 h-index
3 publications
42 citations
University of Basel
Basel, Switzerland
1 h-index
2 publications
72 citations
Ames Research Center
Mountain View, United States
1 h-index
5 publications
60 citations
Chevron (Netherlands)
Rotterdam, Netherlands
1 h-index
3 publications
33 citations
Shell (Netherlands)
The Hague, The Netherlands
1 h-index
1 publications
56 citations
Procter & Gamble (Belgium)
Grimbergen, Belgium
1 h-index
1 publications
56 citations
1–8 of 37
Venues
- Science
1 publications · 35 citations
1
h-index
- Vaccine
1 publications · 36 citations
1
h-index
- IEEE Transactions on Parallel and Distributed Systems
TPDS · 1 publications · 25 citations
1
h-index
- Computers & Geosciences
CAGEO · 1 publications · 41 citations
1
h-index
- International Journal of Cloud Applications and Computing
IJCAC · 1 publications · 37 citations
1
h-index
1–5