Towards understanding the quality of OpenStreetMap contributions: Results of an intrinsic quality assessment of data for Mozambique

Room: Track 2
Academic Track

Sunday, 11:30 UTC
Duration: 20 minutes (plus Q&A)

session pad

full abstract - pdf

video on media.ccc.de
video on YouTube

• Aphiwe Madubedube (Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa)
• Serena Coetzee (Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa)
• Victoria Rautenbach (Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa)

Contributors of OpenStreetMap data for Mozambique, a country in Southern Africa, were classified into four distinct groups. The most active group included 25% of all contributors, most of them long-term contributors, and most features were last edited by members of this group. One can therefore conclude that the quality of the data is likely to be good, however, it lacks in completeness and the number of edits per feature is low. Even though no absolute statements about data quality can be made, the analysis provides valuable insight into the quality and can inform efforts to further improve the quality.