Data Version Control
Data Version Control is a systematic methodology within data management that tracks and manages changes to datasets over time, distinguishing itself by enabling reproducibility, auditability, and collaborative integrity through structured lineage and version tracking.
69
Publications
3.9K
Citations
326
Authors
147
Institutions
Publications per year
2017–2026
30
Variants
Dvc
Parents
69
LogTM: Log-based Transactional Memory
K.E. Moore, Jayaram Bobba, Michelle J. Moravan et al. · 2006 · 685 citations
Change-Centric Management of Versions in an XML Warehouse
Amélie Marian, Serge Abiteboul, Grégory Cobéna et al. · 2000 · 190 citations
1–5 of 69
326
3
h-index
University of California, Berkeley, United States
3 publications · 159 citations
3
h-index
3
h-index
2
h-index
Universidade Federal do Rio Grande do Norte, Brazil
2 publications · 35 citations
2
h-index
1–5 of 326
147
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
12 publications
455 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
5 publications
420 citations
University of Chicago
Chicago, United States
4 h-index
10 publications
495 citations
John Brown University
Siloam Springs, United States
3 h-index
3 publications
159 citations
Leipzig University
Leipzig, Germany
3 h-index
9 publications
249 citations
National University of Singapore
Singapore, Singapore
2 h-index
13 publications
866 citations

Zhejiang University
Hangzhou, China
2 h-index
2 publications
128 citations

UNSW Sydney
Sydney, Australia
2 h-index
3 publications
92 citations
1–8 of 147
PVLDB · 3 publications · 205 citations
3
h-index
2 publications · 414 citations
2
h-index
CAGEO · 2 publications · 64 citations
2
h-index
Repository · 2 publications · 135 citations
2
h-index
2 publications · 138 citations
2
h-index
1–5