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A Provenance Model for Quantified Self Data

Schreiber, Andreas (2016) A Provenance Model for Quantified Self Data. In: Universal Access in Human-Computer Interaction. Methods, Techniques, and Best Practices, 9737, pp. 382-393. Springer International Publishing. 10th International Conference, UAHCI 2016, Held as Part of HCI International 2016, 17.-22. Jul 2016, Toronto, Kanada. DOI: 10.1007/978-3-319-40250-5_37 ISBN 978-3-319-40250-5 ISSN 0302-9743

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Official URL: http://link.springer.com/chapter/10.1007%2F978-3-319-40250-5_37

Abstract

Quantified Self became popular in recent years. People are tracking themselves with Wearables, smartphone apps, or desktop applications. They collect, process and store huge amounts of personal data for medical and other reasons. Due to the complexity of different data sources, apps, and cloud services, it is hard to follow the data flow and to have trust in data integrity and safety. We present a solution that helps to get insight in Quantified Self data flows and to answer questions related to data security. We provide a provenance model for Quantified Self data based on the W3C standard PROV. Using that model, developers and users can record provenance of Quantified Self apps and services with a standardized notation. We show the feasibility of the presented provenance model with a small workflow using steps data from Fitbit fitness tracker.

Item URL in elib:https://elib.dlr.de/105124/
Document Type:Conference or Workshop Item (Speech)
Title:A Provenance Model for Quantified Self Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schreiber, AndreasAndreas.Schreiber (at) dlr.dehttps://orcid.org/0000-0001-5750-5649
Date:21 June 2016
Journal or Publication Title:Universal Access in Human-Computer Interaction. Methods, Techniques, and Best Practices
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:9737
DOI :10.1007/978-3-319-40250-5_37
Page Range:pp. 382-393
Editors:
EditorsEmail
Antona, MargheritaFoundation for Research and Technology - Hellas (FORTH)
Stephanidis, ConstantineFoundation for Research and Technology - Hellas (FORTH)
Publisher:Springer International Publishing
Series Name:Lecture Notes in Computer Science
ISSN:0302-9743
ISBN:978-3-319-40250-5
Status:Published
Keywords:Provenance,Quantified self,Personal informatics,Trust,Ontology,PROV
Event Title:10th International Conference, UAHCI 2016, Held as Part of HCI International 2016
Event Location:Toronto, Kanada
Event Type:international Conference
Event Dates:17.-22. Jul 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: Berlin-Adlershof , Braunschweig , 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:15 Aug 2016 14:31
Last Modified:15 Aug 2016 14:31

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