I am a developer at an energy research institute, and so the topic of electric vehicles and charging stations is one that comes up often in my discussions with colleagues. One colleague mentioned that they were struggling to do a study in a specific city but was lamenting how hard it was to find data for them. Naturally, I suggested using OSM.

While not outright shot down, the idea was politely dismissed, citing that the OSM data is simply too unreliable and not detailed enough to perform the kind of analysis that they wanted. My initial reaction was to jump to the defense of OSM, but I realized that I don’t really know the data quality of this specific corner of the database.

I was already planning to attend the Karlsruhe OSM hackacthon at Geofabrik on February 26th and 27th, and so I decided I would make it my mission to analyze the quality of the charging station data as deeply as I could in those two days (and some time thereafter). Obviously, as with any analysis of OSM quality, seemingly simple questions balloon into exponentially difficult answers, fraught with tedious subtleties.

Despite this, I have come to a few conclusions that I thought I should share that are specifically targeted at assessing the quality of OSM charging station data for use in electrical engineering research. First, here are some definitions I will use so as not to repeat tedious, specific technical definitions:

• Charging station: An OSM feature tagged with “amentiy=charging_station”
• Charging station point: Such a feature with a “node” geometry type
• Charging station polygon: Such a feature with a “way” geometry type

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