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, 2016-06-07 - 2016-06-08, 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:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Schreiber, Andreas	UNSPECIFIED	https://orcid.org/0000-0001-5750-5649	UNSPECIFIED
Seider, Doreen	UNSPECIFIED	https://orcid.org/0000-0001-9484-8704	UNSPECIFIED

Date:

4 June 2016

Journal or Publication Title:

Provenance and Annotation of Data and Processes

Refereed publication:

Yes

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Yes

Volume:

9672

DOI:

10.1007/978-3-319-40593-3_25

Page Range:

pp. 218-221

Editors:

Editors	Email	Editor's ORCID iD	ORCID Put Code
Mattoso, Marta	Federal University of Rio de Janeiro	UNSPECIFIED	UNSPECIFIED
Glavic, Boris	Illinois Institute of Technology	UNSPECIFIED	UNSPECIFIED

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 Start Date:

7 June 2016

Event End Date:

8 June 2016

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Space System Technology

DLR - Research area:

Raumfahrt

DLR - Program:

R SY - Space System Technology

DLR - Research theme (Project):

R - Vorhaben SISTEC (old)

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:

24 Apr 2024 20:10

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