Please note, this is a proof of concept implementation of the OQT, we are constantly working on enhancements (e.g. further indicators, being able to customize the weighting of the different indicators, processing bigger or customized areas of interest).
OQT is a tool that end users, e.g. humanitarian organisations and public administration, can use to get information on the quality of OSM data for their specific region and use-case.
Further, it functions as a data integration tool, that brings together a variety of intrinsic and extrinsic OSM data quality metrics.
OQT is an open-source project, all code is available on github.
Klonner, Carolin; Hartmann, Maximilian; Dischl, Rebecca; Djami, Lily; Anderson, Liana; Raifer, Martin; Lima-Silva, Fernanda; Castro Degrossi, Lívia; Zipf, Alexander; Porto de Albuquerque, João (2021): The Sketch Map Tool Facilitates the Assessment of OpenStreetMap Data for Participatory Mapping. ISPRS Int. J. Geo-Inf., 10, 130.
Raifer, Martin; Troilo, Rafael; Kowatsch, Fabian; Auer, Michael; Loos, Lukas; Marx, Sabrina; Przybill, Katharina; Fendrich, Sascha; Mocnik, Franz-Benjamin; Zipf, Alexander (2019): OSHDB: a framework for spatio-temporal analysis of OpenStreetMap history data. Open Geospatial Data, Software and Standards.
Auer, Michael; Eckle, Melanie; Fendrich, Sascha; Kowatsch, Fabian; Marx, Sabrina; Raifer, Martin; Schott, Moritz; Troilo, Rafael; Zipf, Alexander (2018): Comprehensive OpenStreetMap History Data Analyses- for and with the OSM community. Talk at the State of the Map conference 2018, Milan.
Raifer, Martin (2017): OSM history analysis using big data technology. Talk at the State of the Map conference 2017, Aizuwakamatsu.
Barron, Christopher; Neis, Pascal; Zipf, Alexander (2013): A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis, Transactions in GIS.
The data pre-processing and the service deployment is done by HeiGIT. Please contact us if you are interested in using it for your research, need stats for your own application or if you have any questions or suggestions related to the statistics presented on this website.
At HeiGIT we provide research and development to support decision-making in the field of sustainable mobility and humanitarian aid. We accomplish this through open geoinformation, open methods, open software and close collaboration with our partners.