Import/CBF

This will become the documentation page for the wheelchair toilet import of data donated from CBF Darmstadt e.V..

Contact Persons

• User:Lulu-Ann
• User:Okilimu

Type of Import

• Import/Secondary data imports with no or bad coordinates

Datasource accuracy and licensing (also summarised on Potential Datasources)

• Datasource is a donation of an MS Excel list of wheelchair accessible toilets with eurokey from CBF.

Import/Software you plan to use. Share the source code you are using.

• Manually check data
• Add postcodes
• Find housenumber matches.

Matching house numbers

• Download matches, add tags to .osm
• Upload with JOSM to OSM

Matching streets, Housenumber interpolation

• Download housenumber interpolation vektors
• Interpolate position
• Add node and tags + FIXME
• Upload with JOSM to OSM

Only street match

• Add to OpenStreetBugs with all tags incl. address and contact person.

No address match

• Add to OpenStreetBugs

Exactly how data will be translated from another format into OSM format

• Todo: Enter script here.

How the resulting data will look. Exact tags being used.

User: to be defined, e.g. CBF_Import

Mandatory:

• addr:city=*
• addr:street=*
• addr:housenumber=*
• addr:postcode=*
• amenity=toilet
• wheelchair=yes
• centralkey=eurokey
• source=CBF Import
• cbf_import=Dataset ID
• website=http://www.cbf-da.de/presse/Toilettenschluessel.htm

Optional:

• wheelchair:description:de=*
• operator=*
• opening_hours=*
• gender=unisex

If needed:

• FIXME=* if position is interpolated or geocoded
• note=Position is interpoladed or geocoded, please check.

Link to sample data imported on the test database.

• not yet

==User name of the account performing the import, and other details of how the changesets will be tagged And as the import progresses ==

• Different names for the different import methods? (housenumber match // street match // ...)

Link to example data imported on the live database.

• Not yet