Towards Provenance Capturing of Quantified Self Data Andreas Schreiber, Doreen Seider German Aerospace Center (DLR), Cologne, Germany Medando UG, Cologne, Germany

> ProvenanceWeek 2016 > A. Schreiber, D. Seider • Towards Provenance Capturing of Quantified Self Data > 08.06.2016 DLR.de • Chart 1

Quantified Self – Self Tracking

> ProvenanceWeek 2016 > A. Schreiber, D. Seider • Towards Provenance Capturing of Quantified Self Data > 08.06.2016 DLR.de • Chart 2

Blood Pressure

Activities Weight

Mood / Mindfulness

Coffee / Tea Location

Steps Sleep

Technology: Wearables – Apps – Services

> ProvenanceWeek 2016 > A. Schreiber, D. Seider • Towards Provenance Capturing of Quantified Self Data > 08.06.2016 DLR.de • Chart 3

Wearable Devices • Wearable, implantable,

attachable, ingestible • Embedded systems with

sensors, Internet-of-things Apps

• Smarthphone, desktop, web-based apps

• Aggregation portals Services

• Web-services, cloud-services • Provided by hardware

vendors

Example: Weight Tracking

> ProvenanceWeek 2016 > A. Schreiber, D. Seider • Towards Provenance Capturing of Quantified Self Data > 08.06.2016 DLR.de • Chart 4

Weight Tracking

> ProvenanceWeek 2016 > A. Schreiber, D. Seider • Towards Provenance Capturing of Quantified Self Data > 08.06.2016 DLR.de • Chart 5

Questions

> ProvenanceWeek 2016 > A. Schreiber, D. Seider • Towards Provenance Capturing of Quantified Self Data > 08.06.2016 DLR.de • Chart 6

Entity-focused

• What data about the user were created during the activity X?

• What data about the user were automatically generated? • What data about the user were derived from manual

input? Activity-focused

• Which activities support visualization of the users data? • In which activities can the user input data? • What processes are communicating data?

Agent-focused

• What parties were involved in generating data X? • What parties got access on data X? • Can other parties see user’s data X?

PROV Model for the Quantified Self („Templates“)

> ProvenanceWeek 2016 > A. Schreiber, D. Seider • Towards Provenance Capturing of Quantified Self Data > 08.06.2016 DLR.de • Chart 7

Android App WeightCompanion

> ProvenanceWeek 2016 > A. Schreiber, D. Seider • Towards Provenance Capturing of Quantified Self Data > 08.06.2016 DLR.de • Chart 8

Python Script

> ProvenanceWeek 2016 > A. Schreiber, D. Seider • Towards Provenance Capturing of Quantified Self Data > 08.06.2016 DLR.de • Chart 9

Merging & Storing: ProvToolbox & ProvStore

> ProvenanceWeek 2016 > A. Schreiber, D. Seider • Towards Provenance Capturing of Quantified Self Data > 08.06.2016 DLR.de • Chart 10

Thank You!

> ProvenanceWeek 2016 > A. Schreiber, D. Seider • Towards Provenance Capturing of Quantified Self Data > 08.06.2016 DLR.de • Chart 11

Andreas Schreiber andreas.schreiber@dlr.de @onyame

Doreen Seider doreen.seider@medanod.de

@yocaba