Workshop – From Crowdsourced to Reliable Data: AI Quality Evaluation of OpenStreetMap

OpenStreetMap (OSM) is a valuable crowdsourced alternative to commercial and governmental geospatial data providers, with proven applications e.g. in the environment, tourism and emergency services. However, the lack of quality assessment tools hinders its wider adoption. This workshop aims to address the need for reliable and standardized data quality evaluation in OSM, with a focus on AI-based methods.

Current research prototypes such as ‘OSM Data Completeness’ and ‘ohsome quality analyst’ offer intrinsic solutions for data quality evaluation in specific regions based on user requirements. But there’s potential for improvement in usability and integration of extrinsic approaches.

The workshop will explore how these tools can be developed for production use and identify areas for further research. By discussing data quality evaluation solutions, the workshop aims to enable the establishment of an applied research and development agenda to better evaluate the suitability of OSM data.

The workshop will be held in German and English.

Registration and contact: Mail to stefan.keller@ost.ch