Data Integrity Validation
Data Integrity Validation is a methodological process within post-migration validation that verifies the completeness, consistency, and accuracy of data after migration by ensuring that data remains unaltered in transit, is traceable, and retains its original meaning and structure within the new system environment.
10
Publications
238
Citations
34
Authors
17
Institutions
Publications per year
2017–2026
7
10
Knowledge-based Integrity Constraint Validation
Xiaolei Qian, Gio Wiederhold · Very Large Data Bases · 1986 · 50 citations
1–5 of 10
34
1
h-index
1
h-index
Chinese Academy of Medical Sciences & Peking Union Medical College, China
1 publications · 11 citations
1
h-index
1
h-index
1
h-index
1–5 of 34
17

Delft University of Technology
Delft, The Netherlands
2 h-index
2 publications
25 citations
Hewlett-Packard (United States)
Palo Alto, United States
1 h-index
1 publications
10 citations

DePaul University
Chicago, United States
1 h-index
3 publications
30 citations
University of New Orleans
New Orleans, United States
1 h-index
1 publications
10 citations

University of Worcester
Worcester, United Kingdom
1 h-index
1 publications
14 citations
Grier Forensics (United States)
Baltimore, United States
1 h-index
1 publications
10 citations
UCLA Health
Los Angeles, United States
1 h-index
2 publications
36 citations
Universitas Pembangunan Panca Budi Medan
Medan, Indonesia
1 h-index
1 publications
11 citations
1–8 of 17
PVLDB · 1 publications · 10 citations
1
h-index
Conference · 1 publications · 50 citations
1
h-index
TOIT · 1 publications · 53 citations
1
h-index
1 publications · 11 citations
1
h-index
1 publications · 11 citations
1
h-index
1–5