Diego Ripley 63d4614531 Strategy should be done in this order for maximum efficiency:
- Define how to structure data packages, see https://github.com/dataforcanada/d4c-pkgs/issues/2 and https://github.com/dataforcanada/d4c-pkgs/issues/3
- Implement https://github.com/dataforcanada/d4c-infra-distribution/issues/16 in one of the data packages
- Invite community to one simple data package (ex. d4c-datapkg-orthoimagery), there was interest in this event https://discourse.pangeo.io/t/pangeo-showcase-no-shard-feelings-geozarr-rendering-in-qgis-powered-by-gdal-march-4-2026-at-12-pm-et/5526 about converting this dataset into GeoZarr https://source.coop/dataforcanada/d4c-datapkg-orthoimagery/archive/ca-on_province_of_ontario-2024A000235_drape_eastern_ontario_orthoimagery_2024_16cm. Make use of professionals that have taken an interest.
- I have further strategy, but these should be priority
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Deploy Hugo site to R2 Deploy Worker

This repo has the code for the Data for Canada project website. The website is generated as a static website with Hugo.

How to Run Locally

# Clone the repository
git clone git@github.com:dataforcanada/d4c-service-main-site.git

# Navigate to the project directory
cd d4c-service-main-site

# In Dev Container
hugo server --disableFastRender --noHTTPCache -p 1313

License

The website and code are distributed under an MIT license.

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