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Analytic Provenance

Utilizing Provenance as an Attribute for Visual Data Analysis: A Design Probe with ProvenanceLens

Arpit Narechania, Shunan Guo, Eunyee Koh, Alex Endert, Jane Hoffswell

IEEE TVCG · 2025

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Abstract

We propose modeling provenance as an attribute available to users during analysis and integrate recency and frequency tracking into ProvenanceLens, a visual data analysis system prototype evaluated with sixteen users.

Citation

@article{narechania2025provenancelens,
  author = {Narechania, Arpit and Guo, Shunan and Koh, Eunyee and Endert, Alex and Hoffswell, Jane},
  title = {{Utilizing Provenance as an Attribute for Visual Data Analysis: A Design Probe with ProvenanceLens}},
  journal = {IEEE Transactions on Visualization and Computer Graphics},
  volume = {31},
  number = {10},
  pages = {8452--8465},
  year = {2025},
  doi = {10.1109/TVCG.2025.3571708}
}