Data Dependency Tracking
Data Dependency Tracking is a data management method that systematically identifies, records, and analyzes the relationships and transformations among data elements across processing stages to establish traceability in data flows within data lineage and orchestration systems.
20
Publications
530
Citations
64
Authors
28
Institutions
Publications per year
2017–2026
4
20
1–5 of 20
64
2
h-index
Korea Research Institute of Standards and Science, South Korea
2 publications · 79 citations
2
h-index
2
h-index
1
h-index
1
h-index
1–5 of 64
28

Sejong University
Seoul, South Korea
2 h-index
2 publications
79 citations
The University of Texas at Austin
Austin, United States
2 h-index
4 publications
51 citations
Seoul National University
Seoul, South Korea
2 h-index
3 publications
122 citations
Singapore-MIT Alliance for Research and Technology
Singapore, Singapore
1 h-index
3 publications
78 citations
National University of Singapore
Singapore, Singapore
1 h-index
3 publications
78 citations
Science for Life Laboratory
Stockholm, Sweden
1 h-index
2 publications
32 citations

KTH Royal Institute of Technology
Stockholm, Sweden
1 h-index
3 publications
48 citations
University of Massachusetts Dartmouth
North Dartmouth, United States
1 h-index
2 publications
68 citations
1–8 of 28
Repository · 1 publications · 10 citations
1
h-index
CSD · 1 publications · 14 citations
1
h-index
1 publications · 10 citations
1
h-index
1 publications · 15 citations
1
h-index
FGCS · 1 publications · 16 citations
1
h-index
1–5