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Keys to successful scientific VGI projects

Ingensand, Jens; Composto, Sarah; Ertz, Olivier; Rappo, Daniel; Nappez, Marion; Produit, Timothée; Oberson, Mathias; Widmer, Ivo; Joost, Stéphane
2016
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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.

Details

Title
Keys to successful scientific VGI projects
Author(s)
Ingensand, Jens (School of Engineering and Management Vaud, HES-SO, University of Applied Sciences and Arts Western Switzerland)
Composto, Sarah (School of Engineering and Management Vaud, HES-SO, University of Applied Sciences and Arts Western Switzerland)
Ertz, Olivier (School of Engineering and Management Vaud, HES-SO, University of Applied Sciences and Arts Western Switzerland)
Rappo, Daniel (School of Engineering and Management Vaud, HES-SO, University of Applied Sciences and Arts Western Switzerland)
Nappez, Marion (School of Engineering and Management Vaud, HES-SO, University of Applied Sciences and Arts Western Switzerland)
Produit, Timothée (School of Engineering and Management Vaud, HES-SO, University of Applied Sciences and Arts Western Switzerland)
Oberson, Mathias (School of Engineering and Management Vaud, HES-SO, University of Applied Sciences and Arts Western Switzerland)
Widmer, Ivo (EPFL, Lausanne, Switzerland)
Joost, Stéphane (EPFL, Lausanne, Switzerland)
Date
2016-10
Published in
Proceedings of Open Source Geospatial Research & Education Symposium (OGRS2016), 12-14 October 2016, Perugia, Italy ; PeerJPreprints
Publisher
Perugia, Italy, 12-14 October 2016
Pagination & equivalents
5 p.
Presented at
Open Source Geospatial Research & Education Symposium (OGRS2016), Perugia, Italy, 2016-10-12, 2016-10-14
DOI
https://doi.org/10.7287/peerj.preprints.2230v2
Keywords
VGI ; citizen science ; user engagement ; crowdsourcing ; data quality
Paper type
non-published full paper
Faculty
Ingénierie et Architecture
School
HEIG-VD
Institute
MEI - Media Engineering Institute
Record Appears in
Conference materials
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