Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 253-257, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B4/253/2016/
doi:10.5194/isprs-archives-XLI-B4-253-2016
 
13 Jun 2016
USE AND OPTIMISATION OF PAID CROWDSOURCING FOR THE COLLECTION OF GEODATA
V. Walter, D. Laupheimer, and D. Fritsch Institute for Photogrammetry, University of Stuttgart, 70174 Stuttgart, Germany
Keywords: Crowdsourcing, Data Collection, Geodata Abstract. Crowdsourcing is a new technology and a new business model that will change the way in which we work in many fields in the future. Employers divide and source out their work to a huge number of anonymous workers on the Internet. The division and outsourcing is not a trivial process but requires the definition of complete new workflows – from the definition of subtasks, to the execution and quality control. A popular crowdsourcing project in the field of collection of geodata is OpenStreetMap, which is based on the work of unpaid volunteers. Crowdsourcing projects that are based on the work of unpaid volunteers need an active community, whose members are convinced about the importance of the project and who have fun to collaborate. This can only be realized for some tasks. In the field of geodata collection many other tasks exist, which can in principle be solved with crowdsourcing, but where it is difficult to find a sufficient large number of volunteers. Other incentives must be provided in these cases, which can be monetary payments.
Conference paper (PDF, 1035 KB)


Citation: Walter, V., Laupheimer, D., and Fritsch, D.: USE AND OPTIMISATION OF PAID CROWDSOURCING FOR THE COLLECTION OF GEODATA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 253-257, doi:10.5194/isprs-archives-XLI-B4-253-2016, 2016.

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