[rathel]

Skills are not a real barrier. Data quality and license are. When you look at official datasets, you find ways to screw up you never thought were possible

People in USA still complain about the botched TIGER import [1].

It may sound flippant, but I'd rather not have such end-to-end tutorial geared towards imports be made. It'd lower the barrier too much. People who self-taught GIS (it's possible) can be trusted to be marginally more responsible (not fully, though).

[1] TL;DR the OSM road networks in USA was initially imported from TIGER dataset. However the importing mappers didn't know TIGER was being updated, state by state. Hence, the quality of imported data is not great in many places.