End-to-end Data Traceability
End-To-End Data Traceability is an academic concept that denotes a comprehensive data tracking framework enabling the systematic monitoring and recording of data transformations, movements, and dependencies across all stages of the data lifecycle, from origin to final usage, thereby distinguishing itself from partial or localized traceability approaches by ensuring uninterrupted, holistic visibility throughout the entire data pipeline.
19
Publications
706
Citations
123
Authors
58
Institutions
Publications per year
2017–2026
17
Variants
End-to-end Data Lineage
Parents
19
Matteo Giovanardi, Thaleia Konstantinou, Riccardo Pollo et al. · Journal of Cleaner Production · 2022 · 73 citations · Full text
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58

Tampere University
Tampere, Finland
2 h-index
2 publications
42 citations

Chaoyang University of Technology
Taichung, Taiwan
1 h-index
2 publications
38 citations
Inserm
Paris, France
1 h-index
7 publications
91 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
2 publications
26 citations
Xiamen University of Technology
Xiamen, China
1 h-index
1 publications
19 citations
Assistance Publique – Hôpitaux de Paris
Paris, France
1 h-index
7 publications
91 citations
University College London
London, United Kingdom
1 h-index
5 publications
75 citations
SingularLogic (Greece)
Athens, Greece
1 h-index
3 publications
117 citations
1–8 of 58
1 publications · 17 citations
1
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1 publications · 38 citations
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1 publications · 16 citations
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1 publications · 12 citations
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Repository · 1 publications · 15 citations
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