Reference Data Modeling
Reference Data Modeling is a systematic method for defining and structuring standardized data elements and their relationships within a domain to ensure consistency, interoperability, and reuse across information systems.
74
Publications
4.3K
Citations
236
Authors
109
Institutions
Publications per year
2017–2026
31
Parents
74
Blockchain technology overview
Dylan Yaga, Peter Mell, Nik Roby et al. · 2018 · 1.5K citations · Full text
A taxonomy and terminology of adversarial machine learning
Elham Tabassi, Kevin J. Burns, Michael Hadjimichael et al. · 2019 · 91 citations · Full text
1–5 of 74
236
National Institute of Standards and Technology, United States
3 publications · 1.5K citations
3
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 236
109
Information Technology Laboratory
Gaithersburg, United States
6 h-index
10 publications
160 citations
National Institute of Standards and Technology
Gaithersburg, United States
5 h-index
9 publications
149 citations
National Institute of Standards
Giza, Egypt
5 h-index
9 publications
149 citations
Wright State University
Dayton, United States
4 h-index
8 publications
165 citations
University of Oxford
Oxford, United Kingdom
2 h-index
3 publications
88 citations

University of Alberta
Edmonton, Canada
2 h-index
3 publications
127 citations

University of Notre Dame
Notre Dame, United States
2 h-index
2 publications
72 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
4 publications
232 citations
1–8 of 109
Repository · 2 publications · 33 citations
2
h-index
2 publications · 45 citations
2
h-index
Repository · 2 publications · 28 citations
2
h-index
2 publications · 49 citations
2
h-index
1 publications · 18 citations
1
h-index
1–5