This is my final year research topic.And I want to know about How good is the quality of information which emergent through OSM data model and ordnance survey is for representing VGI
An array of studies investigated OSM data and assessed the geometric, attributive and temporal accuracy, and completeness of the mapped features. Besides intrinsic approaches, most of these studies compare OSM data to established commercial or official geographic data on road networks [29–31], buildings [32], and land use data [33–35]. Their results show, first, that OSM data is only slightly inferior to official/commercial data in terms of accuracy. Second, OSM data completeness increases at a rapid rate and is assumed to have reached or exceeded the level of completeness of commercial data in the meantime. Third, the completeness of OSM is positively correlated to population density and can be considered to be particularly suitable for the spatial analysis of urban areas.
29. Haklay, M. How good is volunteered geographical information? A comparative study of OpenStreetMap and ordnance survey datasets. Environ. Plan. B Plan. Des. 2010, 37, 682–703. [CrossRef]
30. Girres, J.F.; Touya, G. Quality assessment of the French OpenStreetMap dataset. Trans. GIS 2010, 14, 435–459. [CrossRef]
31. Neis, P.; Zielstra, D.; Zipf, A. The street network evolution of crowdsourced maps: OpenStreetMap in Germany 2007–2011. Futur. Internet 2011, 4, 1–21. [CrossRef]
32. Hecht, R.; Kunze, C.; Hahmann, S. Measuring completeness of building footprints in OpenStreetMap over space and time. ISPRS Int. J. Geo-Inf. 2013, 2, 1066–1091. [CrossRef]
33. Arsanjani, J.J.; Mooney, P.; Zipf, A.; Schauss, A. Quality assessment of the contributed land use information from OpenStreetMap versus authoritative datasets. In OpenStreetMap in GIScience: Experiences, Research, and Applications; Arsanjani, J.J., Zipf, A., Mooney, P., Helbich, M., Eds.; Springer: Heidelberg, Germany; New York, NY, USA; Dordrecht, The Netherlands; London, UK, 2015; p. 324.
34. Arsanjani, J.J.; Vaz, E. An assessment of a collaborative mapping approach for exploring land use patterns for several European metropolises. Int. J. Appl. Earth Obs. Geoinf. 2015, 35, 329–337. [CrossRef]
35. Dorn, H.; Törnros, T.; Zipf, A. Geo-Information comparison with land use data in Southern Germany. Int. J. Geo-Inf. 2015, 4, 1657–1671. [CrossRef]