https://github.com/dlr-sc/prov-comics

Provenance Comics
https://github.com/dlr-sc/prov-comics

comics data-visualization hci prov-comics provenance quantified-self visualization

Last synced: 16 days ago
JSON representation

Provenance Comics

• Host: GitHub
• URL: https://github.com/dlr-sc/prov-comics
• Owner: DLR-SC
• License: apache-2.0
• Created: 2017-02-08T19:50:10.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2018-02-15T08:52:17.000Z (almost 7 years ago)
• Last Synced: 2024-11-08T07:46:34.620Z (2 months ago)
• Topics: comics, data-visualization, hci, prov-comics, provenance, quantified-self, visualization
• Language: JavaScript
• Size: 614 KB
• Stars: 2
• Watchers: 8
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# PROV Comics

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.555927.svg)](https://doi.org/10.5281/zenodo.555927)

Automatically generated Provenance Comics

See live demo: https://dlr-sc.github.io/prov-comics/

## Screenshot

![Screenshot](./Screenshot.png)

## Development

**No dependencies requires.**

Tested with:

* Firefox 52

* Chrome 57

## Publications

* Schreiber A., Struminski R. (2017) Visualizing Provenance using Comics. 9th USENIX Workshop on the Theory and Practice of Provenance (TaPP 2017), Seattle, WA

* Schreiber A., Struminski R. (2017) Tracing Personal Data Using Comics. In: Antona M., Stephanidis C. (eds) Universal Access in Human–Computer Interaction. Design and Development Approaches and Methods. UAHCI 2017. Lecture Notes in Computer Science, vol 10277. Springer, Cham. DOI: [10.1007/978-3-319-58706-6_36](https://doi.org/10.1007/978-3-319-58706-6_36)

* Schreiber, A., Struminski, R. (2017) Visualizing the Provenance of Personal Data using Comics. Preprints 2017, 2017120153. DOI: [10.20944/preprints201712.0153.v1](https://doi.org/10.20944/preprints201712.0153.v1)

* Schreiber, A.; Struminksi, R. Visualizing the Provenance of Personal Data Using Comics. Computers 2018, 7, 12. DOI: [10.3390/computers7010012](https://doi.org/10.3390/computers7010012)