Import Project : Montreal Bike Lanes Network

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This project is an import of Montreal bikes lanes dataset which is of type (GeoJSON and KML) covering Montreal, Quebec, Canada. The import is currently (as of (date)) at the planning stage.

Goals

The goal is to import the newly added bike lanes, clean up any duplicates and hopefully get a solid foundation for future import using the same data source.

Schedule

Depending of the complexity of both the conversion of the data to the OSM format and the clean up of potential duplicate, this import should take a few weeks.

Import Data

Background

Data source site: http://website.tld
Data license: https://donnees.montreal.ca/licence-d-utilisation
Type of license : Licence Creative Commons CC-BY 4.0
Link to permission: see paragraph dedicated to OSM on the licence page - https://donnees.montreal.ca/licence-d-utilisation
OSM attribution (if required): Contributors#Montréal
ODbL Compliance verified: yes/no

OSM Data Files

Not yet done

Import Type

This would be a manual import but if we can automate some of the steps, the next imports would be easier and wouldn’t need a special project like this one.

Data Preparation

Data Reduction & Simplification

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Tagging Plans

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Changeset Tags

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Data Transformation

The data is available in GeoJSON and KML formats. Not sure which format is the best one to use.

Data Transformation Results

Post a link to your OSM XML files.

Data Merge Workflow

Team Approach

Solo for now, help wanted :)

References

List all factors that will be evaluated in the import.

Workflow

I think it depends of the import tool we use and the format.

  • Third-party script to convert the data from GeoJSON to OSM XML then import
  • or JOSM with the Open Data plugin to open the KML file and import the data

Conflation

Apparently this tools was used in the past for CycleStreets Potlatch 2/merging functionality

QA

Add your QA plan here.

See also

The email to the Imports mailing list was sent on YYYY-MM-DD and can be found in the archives of the mailing list at [1].