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Towards Provenance Capturing of Quantified Self Data

Schreiber, Andreas and Seider, Doreen (2016) Towards Provenance Capturing of Quantified Self Data. In: Provenance and Annotation of Data and Processes, 9672, pp. 218-221. Springer International Publishing. 6th International Provenance and Annotation Workshop, IPAW 2016, 7.-8. Jun 2016, McLean, USA. DOI: 10.1007/978-3-319-40593-3_25 ISBN 978-3-319-40593-3

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Official URL: http://link.springer.com/chapter/10.1007/978-3-319-40593-3_25

Abstract

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/105123/
Document Type:Conference or Workshop Item (Speech, Poster)
Title:Towards Provenance Capturing of Quantified Self Data
Authors:
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:4 June 2016
Journal or Publication Title:Provenance and Annotation of Data and Processes
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:Yes
Volume:9672
DOI :10.1007/978-3-319-40593-3_25
Page Range:pp. 218-221
Editors:
EditorsEmail
Mattoso, MartaFederal University of Rio de Janeiro
Glavic, BorisIllinois Institute of Technology
Publisher:Springer International Publishing
Series Name:Lecture Notes in Computer Science
ISBN:978-3-319-40593-3
Status:Published
Keywords:Provenance,Quantified self,Wearables,PROV
Event Title:6th International Provenance and Annotation Workshop, IPAW 2016
Event Location:McLean, 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: 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 14:29
Last Modified:09 Feb 2017 19:22

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