We used #Photon and #Nominatim #geocoding services to convert the textual place names into geographical locations and aggregated them on the #NUTS and #LAU levels to support usability of our data.
Geocoding the data was not simple. Many place names were entered into the Erasmus+ database manually resulting in diverse place names containing national spellings, typographical mistakes, character encoding errors, and national scripts, which required manual corrections.
