A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis

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OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks (2016, result): “Its data quality is generally quite high (Girres and Touya 2010; Haklay 2010; Barron et al. 2014) and although data coverage varies worldwide, it is generally good when compared to corresponding estimates from the CIA World Factbook (Maron 2015).”
Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information (2016, background): “A comprehensive literature overview of the latest developments in crowdsourced geographic information research is presented in Reference [60], with a focus on trends related to OpenStreetMap while many others have discussed the quality of this volunteer data source [61–63].”
Urban spatial order: street network orientation, configuration, and entropy (2018, background): “Although its data quality varies somewhat between countries, in general its streets data are high quality, especially in cities (Barrington-Leigh and Millard-Ball 2017; Barron et al. 2014; Zielstra et al. 2013).”
A review of volunteered geographic information quality assessment methods (2017, background): “Barron et al. (2014) and Girres and Touya (2010) use intrinsic data checks to record the statistics of the number of objects, attributes, and values, thereby keeping track of all omissions and commissions to the database.”