Quantified Self PROV

Provenance model and templates for Quantified Self data.

Templates

• Visualize
• Request
• Sensing
• Input
• Export
• Aggregate

Publications

• Schreiber, A.: A Provenance Model for Quantified Self Data. Universal Access in Human-Computer Interaction. Methods, Techniques, and Best Practices: 10th International Conference, UAHCI 2016, Held as Part of HCI International 2016, Toronto, ON, Canada, July 17-22, 2016, Proceedings, Part I, Springer International Publishing, 2016, 382-393. DOI: 10.1007/978-3-319-40250-5_37
• Schreiber, A. & Seider, D.: Towards Provenance Capturing of Quantified Self Data Provenance and Annotation of Data and Processes: 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings, Springer International Publishing, 2016, 218-221. DOI: 10.1007/978-3-319-40593-3_25