[Imports] Salem Oregon Address Import

[zyphlar]

 Salem Oregon Address Import

Hi there, I am proposing to import the Salem, Oregon Primary Addresses
dataset, sourced from City of Salem GIS.
<https://community.openstreetmap.org/t/salem-oregon-address-import-proposal/105292#documentation-2>
Documentation

This is the wiki page for my import:
https://wiki.openstreetmap.org/wiki/Salem_Oregon_Address_Import

This is the source dataset’s website:
https://data.cityofsalem.net/datasets/salem::primary-address/explore
(The data download is available there)

This is a file I have prepared which shows the data after it was translated
to OSM schema:
https://gitlab.com/zyphlar/salem-import/-/blob/main/Address/Primary_Address.geojson?ref_type=heads

<https://community.openstreetmap.org/t/salem-oregon-address-import-proposal/105292#license-3>
License

I have checked that this data is compatible with the ODbL.
This data is distributed under Public Domain (no copyright) as per a
screenshotted email from Travis at the City of Salem GIS.
<https://community.openstreetmap.org/t/salem-oregon-address-import-proposal/105292#abstract-4>
Abstract

   - The dataset contains address POIs for everything in Salem and West
   Salem proper, excluding Kaiser, Hayesville, Middle Grove, and Four Corners.
   Apartments and suites are tagged separately.
   - I have no particular relationship to this data other than a personal
   interest in a complete map. I have two other locale address imports under
   my belt, so I'm confident this will go smoothly.
   - The data is 92MB uncompressed.
   - The data has been processed via QGIS to be 24MB. We’ll then import the
   processed GeoJSON via JOSM.
   - Tags have been translated according to the filter/processing steps in
   the README.
   - Since these are just address POIs, we’re simply deleting any new
   conflicts (duplicate addresses) as they’re obviously unneeded.
   - I plan to either do all the work myself, or segment the work and use
   OSMUS Tasking Manager. It’s only one city with quite clean data, however,
   so DIY shouldn’t be hard.
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