Z. Cutler, K. Gadhave and A. Lex, "Trrack: A Library for Provenance-Tracking in Web-Based Visualizations," 2020 IEEE Visualization Conference (VIS), Salt Lake City, UT, USA, 2020, pp. 116-120, doi: 10.1109/VIS47514.2020.00030.

@INPROCEEDINGS{9331264,
  author={Cutler, Zach and Gadhave, Kiran and Lex, Alexander},
  booktitle={2020 IEEE Visualization Conference (VIS)},
  title={Trrack: A Library for Provenance-Tracking in Web-Based Visualizations},
  year={2020},
  volume={},
  number={},
  pages={116-120},
  abstract={Provenance-tracking is widely acknowledged as an important feature of visualization systems. By tracking provenance data, visualization designers can provide a wide variety of functionality, ranging from action recovery (undo/redo), reproducibility, collaboration and sharing, to logging in support of quantitative and longitudinal evaluation. However, no widely used library that can provide that functionality is current available. As a consequence, visualization designers either develop ad hoc solutions that are rarely comprehensive, or do not track provenance at all. In this paper, we introduce a web-based software library - Trrack - that is designed for easy integration in existing or future visualization systems. Trrack supports a wide range of use cases, from simple action recovery, to capturing intent and reasoning, and can be used to share states with collaborators and store provenance on a server. Trrack also includes an optional provenance visualization component that supports annotation of states and aggregation of events.},
  keywords={},
  doi={10.1109/VIS47514.2020.00030},
  ISSN={},
  month={Oct},}