Data Validity
Data Validity is a data integrity attribute that refers to the extent to which data conforms to defined business rules, syntactic constraints, and semantic standards within a given domain, ensuring its correctness and admissibility for intended uses.
869
Publications
66.8K
Citations
3K
Authors
1.3K
Institutions
Publications per year
2017–2026
347
869
Verification and validation of simulation models
Robert G. Sargent · Journal of Simulation · 2012 · 1.7K citations
1–5 of 869
3K
17
h-index
12
h-index
6
h-index
6
h-index
5
h-index
1–5 of 3K
1.3K
Syracuse University
Syracuse, United States
17 h-index
17 publications
4.1K citations
University of California, Berkeley
Berkeley, United States
13 h-index
23 publications
1.2K citations

Pennsylvania State University
State College, United States
12 h-index
24 publications
1.1K citations
University of Michigan
Ann Arbor, United States
10 h-index
38 publications
2.8K citations
Sebelas Maret University
Surakarta, Indonesia
10 h-index
26 publications
418 citations
University of Iowa
Iowa City, United States
8 h-index
11 publications
672 citations

University of Minnesota
Minneapolis, United States
8 h-index
13 publications
2.4K citations
Arizona State University
Tempe, United States
8 h-index
17 publications
474 citations
1–8 of 1.3K
14 publications · 2.3K citations
14
h-index
16 publications · 2.6K citations
14
h-index
ASM · 14 publications · 1.2K citations
13
h-index
12 publications · 447 citations
12
h-index
Repository · 14 publications · 363 citations
11
h-index
1–5