Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.pmcj.2013.07.014 | Pervasive and Mobile Computing |
Keywords | Field | DocType |
research community,mobile data analysis methodology,worldwide research,large-scale research initiative,big smartphone data,mobile data challenge,lausanne data collection campaign,mdc tracks,smartphone-based research,dedicated tracks,main research trend,main lesson | Data collection,World Wide Web,Computer science,Mobile broadband | Journal |
Volume | Issue | ISSN |
9 | 6 | 1574-1192 |
Citations | PageRank | References |
33 | 1.07 | 21 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juha K. Laurila | 1 | 33 | 1.40 |
| Daniel Gatica-Perez | 2 | 4182 | 276.74 |
| Imad Aad | 3 | 1150 | 104.13 |
| Jan O. Blom | 4 | 591 | 42.39 |
| Olivier Bornet | 5 | 34 | 3.68 |
| Trinh Minh Tri Do | 6 | 365 | 18.73 |
| Olivier Dousse | 7 | 1822 | 126.03 |
| Julien Eberle | 8 | 112 | 7.81 |
| Markus Miettinen | 9 | 252 | 17.65 |