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Towards Provenance Capturing of Quantified Self Data

Schreiber, Andreas and Seider, Doreen (2016) Towards Provenance Capturing of Quantified Self Data. 6th International Provenance and Annotation Workshop, IPAW 2016, 7.-8. Jun. 2016, McLean <Va.>, USA. (Unpublished)

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Quantified Self or self-tracking is a growing movement where people are tracking data about themselves. Tracking the provenance of Quantified Self data is hard because usually many different devices, apps, and services are involved. Nevertheless receiving insights how the data has been acquired, how it has been processed, and who has stored and accessed it is crucial for people. We present concepts for tracking provenance in typical Quantified Self workflows. We use a provenance model based on PROV and show its feasibility with an example.

Item URL in elib:https://elib.dlr.de/110533/
Document Type:Conference or Workshop Item (Poster)
Title:Towards Provenance Capturing of Quantified Self Data
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schreiber, AndreasAndreas.Schreiber (at) dlr.dehttps://orcid.org/0000-0001-5750-5649
Seider, DoreenDoreen.Seider (at) dlr.dehttps://orcid.org/0000-0001-9484-8704
Date:June 2016
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Provenance, Quantified self, Wearables, PROV
Event Title:6th International Provenance and Annotation Workshop, IPAW 2016
Event Location:McLean <Va.>, USA
Event Type:international Conference
Event Dates:7.-8. Jun. 2016
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben SISTEC
Location: Köln-Porz
Institutes and Institutions:Institut of Simulation and Software Technology > Distributed Systems and Component Software
Institut of Simulation and Software Technology
Deposited By: Schreiber, Andreas
Deposited On:11 Jan 2017 14:06
Last Modified:31 Jul 2019 20:07

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