Title :
A meta-model for crowdsourcing platforms in Data Collection and Participatory Sensing
Author :
Dallora Moraes, Ana Luiza ; Fonseca, Fernando ; Esteves, Maria Gilda P. ; Schneider, David ; de Souza, Jano M.
Author_Institution :
Grad. Sch. of Eng., Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
Abstract :
Crowdsourcing is both a new paradigm of collaboration and a new frontier for CSCWD. Since its introduction in 2006, the notion of Crowdsourcing has been the object of a number of studies. Crowdsourcing has a multidisciplinary nature with a huge diversity of applications that encompasses many practices. The concepts that shape crowdsourcing are still under construction and it is difficult to reach a consensus. Based on this scenario, this paper proposes a meta-model which aims to fit generic solutions related to a specific subset of crowdsourcing designed to accomplish a specific task: Data Collection and Participatory Sensing to leverage the engagement of volunteers with Science and Environmental issues.
Keywords :
data analysis; organisational aspects; outsourcing; CSCWD; crowdsourcing platforms; data collection; environmental issues; generic solutions; meta-model; participatory sensing; science issues; Atmospheric measurements; Communities; Crowdsourcing; Data collection; Mobile handsets; Sensors; Unified modeling language; citizen science; crowdsourcing; data collection; environment-centric sensing; participatory sensing;
Conference_Titel :
Computer Supported Cooperative Work in Design (CSCWD), Proceedings of the 2014 IEEE 18th International Conference on
Conference_Location :
Hsinchu
DOI :
10.1109/CSCWD.2014.6846883
