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Podcast: Chaos Computer Club - recent audio-only feed
Episode: When Metadata Isn’t Enough: Extrinsic Quality Assessment of OSM Using Custom Reference Data (sotm2025)
Description: This talk explores the extrinsic quality of OpenStreetMap data in Brno by comparing the city’s most frequently mapped amenities against a custom, field-collected reference dataset. The findings highlight relatively high attribute accuracy in OSM but reveal gaps in feature completeness, with only about 34.94% of features matched with the reference dataset.
OpenStreetMap is a notable example of a database created by volunteers. Due to its open approach to data collection, establishing trust in the data is essential. Three key factors must be considered to evaluate this trust: completeness, correctness, and positional accuracy. The most common method in recent years for as...