The OpenStreetMap Quality project aims to enhance methods for assessing the quality of OpenStreetMap (OSM) data in a structured and standardized way. OSM, as a widely used and collaboratively maintained mapping platform, presents unique challenges when it comes to ensuring data quality. Reliable quality assessments are essential to support its diverse applications.
This project builds upon ohsome, a platform designed to analyze the complete history of OpenStreetMap (OSM). The data quality estimation logic will be implemented in the ohsome quality API (OQAPI), which will be extended with new API endpoints to calculate various data quality indicators. Serving as the user interface, the ohsome dashboard will consume responses from OQAPI and present them interactively. This enables users to intuitively explore and analyze the quality of OSM data for specific regions.
Create an application that enables users to assess the quality of OpenStreetMap (OSM) data for regions of their choice. This tool will expand the capabilities of the ohsome dashboard, offering an intuitive interface for selecting and evaluating specific regions.
Establish a process for assessing OSM data quality based on ISO 19113 standards. The application will evaluate data using key quality metrics such as Completeness, Thematic Accuracy, Logical Consistency, Temporal Accuracy, and Positional Accuracy.
Provide users with actionable insights based on the quality assessment. This will help them decide whether to avoid using the evaluated OSM data or employ it for their specific purposes.
Dr. Benjamin Herfort
Dr. Michael Auer
Levi Szamek
Matthias Merdes
Matthias Schaub
Free geoinformation, methods and software for the benefit of the environment and society.
Core-funded by
Background imagery created with data from OpenStreetMap contributors