Crowd and Community Sourced Data Quality Assessment
Data quality assessment of different volunteered initiatives and platforms presents several challenges for data validation given the high amount of data collected. This paper focuses on two goals. The first consists in defining both a generic workflow and data quality indicators for validation of reports coming from crowd and community sourcing platforms. In the proposed workflow, a qualified report can be even described by each indicator separately or by a combination of them. Here, we focus mostly on analyzing the results obtained for each indicator separately. The second goal is to learn more information about contributors who has engaged in a platform proposed by a public body (i.e., the French National Mapping Agency): Who are they? How are they contributing? What are their motivations? More is known about contributors to OpenStreetMap than of any other VGI platform. Indeed, knowing the contributors is a crucial task for both motivation and data quality, especially now that public institutions are engaging with VGI.
KeywordsData quality VGI Community and crowdsourcing platform
We are grateful to Maryame Rhezali for her valuable inputs for this work. Our work is funded under grant #689812 (H2020, LandSense project) by European Commision.
- Antoniou, V., & Skopeliti, A. (2015). Measures and indicators of VGI quality: An overview. ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, ISPRS geospatial week 2015 (pp. 345–351). France: La Grande Motte.Google Scholar
- Ballatore, A., & Zipf, A. (2015). A conceptual quality framework for Volunteered Geographic Information. In S. I. Fabrikant, M. Raubal, M. Bertolotto, C. Davies, S. Freundschuh, S. Bell (Eds.), Spatial information theory (pp. 89–107). Cham: Springer International Publishing.Google Scholar
- Brando, C., & Bucher, B. (2010). Quality in user generated spatial content: A matter of specifications. In 13th AGILE International Conference on GIS. Google Scholar
- Brando, C. (2013). Un modèle d’opérations réconciliables pour l’acquisition distribuée de données géographiques. Thèse de doctorat de l’université Paris Est.Google Scholar
- Fonte, C., Bastin, C., Foody, G., Kellenberger, T., Kerle, N., Mooney, P., et al. (2015). VGI quality control. ISPRS annals of photogrammetry, remote sensing and spatial information sciences II-3/W5, 317–324.Google Scholar
- Foody, G., & Boyd, D. S. (2012). Using volunteered data in land cover map validation: Mapping tropical forests across West Africa. In Geoscience and remote sensing symposium (IGARSS), pp. 6207–6208.Google Scholar
- Haklay, M. E, Antoniou, V, Basiouka, S, Soden, R, & Mooney, P. (2014). Crowdsourced geographic information use in government. In Global facility for disaster reduction & recovery (GFDRR). London, UK: World Bank.Google Scholar
- Leibovici, D. G., Evans, B., Hodges, C., Wiemann, S., Meek, S., Rosser, J., et al. (2015). On data quality assurance and conflation entanglement in crowdsourcing for environmental studies. In ISPRS annals of photogrammetry, remote sensing and spatial information sciences II-3/W5.Google Scholar
- Peyman, H., Rahim, A. A. (2015). Assessment of logical consistency in OpenStreetMap based on the spatial similarity concept. In J. Jokar Arsanjani, A. Zipf, P. Mooney, & M. Helbich (Eds.), OpenStreetMap in GIScience (pp 19–36). Lecture notes in geoinformation and cartography. Cham: Springer International Publishing. doi: 10.1007/978-3-319-14280-7_2.
- Senaratne, H., Mobasheri, A., Loai Ali, A., Capineri, C., & Haklay, M. (2015). A review of volunteered geographic information quality assessment methods. IJGIS, 1–29.Google Scholar
- Touya, G., & Brando C. (2013). Detecting level-of-detail inconsistencies in volunteered geographic information data sets. Cartographica: The International Journal for Geographic Information and Geovisualization, 48(2), 134–143. doi: 10.3138/carto.48.2.1836.
- van Exel, M., Dias, E., & Fruijtier, S. (2010). The impact of crowdsourcing on spatial data quality indicators. In Proceedings of GIScience 2010, Zurich, Switzerland.Google Scholar