Keys to successful scientific VGI projects
1
Institute G2C, University of Applied Sciences Western Switzerland, Yverdon-les-Bains, Switzerland
2
Institute MEI, University of Applied Sciences Western Switzerland, Yverdon-les-Bains, Switzerland
3
Geographic Information Systems Lab (LASIG), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
4
Laboratory of Geographic Information Systems (LASIG) / School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Published
- Accepted
- Subject Areas
- Data Science, Spatial and Geographic Information Systems
- Keywords
- citizen science, Volunteered geographic information (VGI), PPGIS, crowdcrafting, crowdsourcing, data quality
- Copyright
- © 2016 Ingensand et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. Keys to successful scientific VGI projects. PeerJ Preprints 4:e2230v2 https://doi.org/10.7287/peerj.preprints.2230v2
Abstract
Scientific projects are increasingly using volunteered geographic information (VGI) in order to collect and validate geographic data. This concept relies on the three challenges that first of all users can be found and second be convinced to collaborate and contribute and that scientists finally are able to gather high quality data for their projects. In this paper these three challenges are discussed using the experience with three different research projects: Urbangene, Signalez-nous and BioSentiers.
Author Comment
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