Data Lineage Tracking

Data Lineage Tracking is a data management method that systematically records and represents the origin, flow, transformations, and dependencies of data across systems and processes to enable traceability, auditing, and impact analysis within data ingestion pipelines.

44

Publications

3.6K

Citations

181

Authors

86

Institutions

Publications per year

2017–2026

14

Authors

181

  1. JW
    Jennifer Widom

    Stanford University, United States

    6 publications · 1K citations

    6

    h-index

  2. EW
    Eugene Wu

    Columbia University, United States

    3 publications · 91 citations

    3

    h-index

  3. YC
    Yangfan Cui

    Stanford University, United States

    3 publications · 527 citations

    3

    h-index

  4. EA
    E. A. Valentijn

    University of Groningen, Netherlands

    3 publications · 116 citations

    3

    h-index

  5. DB
    Danny Boxhoorn

    University of Groningen, Netherlands

    3 publications · 116 citations

    3

    h-index

1–5 of 181

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 55 citations

    2

    h-index

  2. IBM Journal of Research and Development

    1 publications · 88 citations

    1

    h-index

  3. PubMed

    Repository · 1 publications · 88 citations

    1

    h-index

  4. Experimental Astronomy

    1 publications · 61 citations

    1

    h-index

  5. Purdue e-Pubs (Purdue University System)

    Repository · 1 publications · 32 citations

    1

    h-index

1–5