Abstract

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.

Highlights

  • The majority of projects in the field of crowd-based geodata collection are based on the work of volunteers

  • In contrast to these kinds of approaches, the project described in this paper has been realized with paid crowdsourcing, which means that the crowdworkers are paid for their work

  • We developed a web-based program for the collection of geodata and integrated it into the commercial crowdsourcing platform microWorkers, which takes over the recruitment and the payment

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Summary

INTRODUCTION

The majority of projects in the field of crowd-based geodata collection are based on the work of volunteers. In contrast to these kinds of approaches, the project described in this paper has been realized with paid crowdsourcing, which means that the crowdworkers are paid for their work. We developed a web-based program for the collection of geodata and integrated it into the commercial crowdsourcing platform microWorkers (www.microWorkers.com), which takes over the recruitment and the payment. The workers are informed automatically when a new job is offered by an employer on the platform. The employers can restrict the jobs to specific groups of workers.

CROWDSOURCING
TEST DATA
GRAPHICAL USER INTERFACE
ORIGIN OF THE CROWDWORKERS
QUALITY OF THE COLLECTED DATA
DATA EXAMPLES
TIME TO ACCOMPLISH THE CAMPAIGNS
Findings
SUMMARY AND OUTLOOK
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