From big smartphone data to worldwide research: The Mobile Data Challenge

Laurila, Juha K.; Gatica-Perez, Daniel; Aad, Imad; Blom, Jan; Bornet, Olivier; Do, Trinh Minh Tri; Dousse, Olivier; Eberle, Julien; Miettinen, Markus (2013). From big smartphone data to worldwide research: The Mobile Data Challenge. Pervasive and Mobile Computing, 9(6), 752 - 771. Elsevier 10.1016/j.pmcj.2013.07.014

Text aad1.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (1MB) | Request a copy

This paper presents an overview of the Mobile Data Challenge (MDC), a large-scale research initiative aimed at generating innovations around smartphone-based research, as well as community-based evaluation of mobile data analysis methodologies. First, we review the Lausanne Data Collection Campaign (LDCC), an initiative to collect unique longitudinal smartphone dataset for the MDC. Then, we introduce the Open and Dedicated Tracks of the MDC, describe the specific datasets used in each of them, discuss the key design and implementation aspects introduced in order to generate privacy-preserving and scientifically relevant mobile data resources for wider use by the research community, and summarize the main research trends found among the 100+ challenge submissions. We finalize by discussing the main lessons learned from the participation of several hundred researchers worldwide in the MDC Tracks.

Interest & Impact

Downloads

10 since deposited on 02 Apr 2014
0 in the past 12 months

Citations

5 Citations in Web of Science ®
6 Citations in Scopus

Search

in Google Scholar™

Services

Actions (login required)

Edit item

Actions (login required)

Edit item