--- title: Welcome to Data for Canada toc: false --- ## Mission Data for Canada exists to bridge the gap between open data availability, resiliency, and usability. We curate, clean, and re-engineer high-value Canadian datasets into high-performance, analysis-ready formats for data engineers, researchers/scientists, developers, and systems. ## The Problem Canada creates incredible amounts of open data, from foundational road networks to federal census statistics and orthoimagery. However, these datasets are often locked in legacy formats, fragmented portals, or structures that require significant engineering effort to normalize. For our target audience, the "time-to-insight" is often bottlenecked by data preparation. **Data Stability:** Beyond technical barriers, open data can be ephemeral. Links break, portals are reorganized, and priorities shift, causing valuable datasets to vanish from the public web. This instability makes it risky to build long-term research or software on top of data providers. ## The Solution We act as the transformation layer. We aggregate datasets with permissive licenses and process them into "digestible" standards optimized for modern downstream applications. * **For Data Engineers, Researchers/Scientists, and Developers:** Skip the cleaning phase. Access normalized, documented data ready for analysis. * **For Systems:** Standardized data structures designed to feed directly into pipelines, data warehouses, and downstream services. **Our Stewardship:** Data for Canada takes ownership of the datasets we create, from start to finish. We ensure that data remains consistent and available, acting as a stable foundation for your work, and allowing for reliable analysis across **time and space**. By decoupling access from the original source, we ensure your pipelines don't break even if the upstream location changes or expires. ## Target Software Ecosystem We adopt an **open-source first** approach, while supporting proprietary solutions to the best of our ability to ensure maximum accessibility. **We target the latest versions of these software packages** (e.g., modern GDAL/OGR) to leverage the newest improvements. Our data is optimized for: * **Core Libraries & Tools:** [GDAL/OGR](https://gdal.org/), [QGIS](https://qgis.org/), and [QField](https://qfield.org/). * **Analysis & Database:** [DuckDB](https://duckdb.org/), [SedonaDB](https://sedona.apache.org/sedonadb/latest/). * **Serving:** [GeoServer](https://geoserver.org/), [Martin](https://martin.maplibre.org/), and [ZOO-Project](https://zoo-project.org/). * **Serverless:** [Cloudflare Workers](https://workers.cloudflare.com/), [AWS Lambda](https://aws.amazon.com/lambda/), and [Google Cloud Run functions](https://cloud.google.com/functions). * **Enterprise:** Esri based products ([ArcGIS Pro](https://www.esri.com/en-us/arcgis/products/arcgis-pro/overview), [ArcGIS Server](https://enterprise.arcgis.com/)). ## What Guides Us We prioritize our work in a utilitarian manner, aiming to provide the greatest amount of good to the greatest amount of individuals. Our approach is guided by the principles of **digital preservation** and the need to keep public information accessible over the long term. Our approach is guided by the following: * [Link rot in LIS literature: a 20-year study of web citation decay, recovery and preservation challenges](https://doi.org/10.1108/AJIM-05-2025-0286) * [Guidance on assessing readiness to manage data according to Findable, Accessible, Interoperable, Reusable (FAIR) principles](https://www.canada.ca/en/government/system/digital-government/digital-government-innovations/information-management/guidance-assessing-readiness-manage-data-according-findable-accessible-interoperable-reusable-principles.html) * [GC White Paper: Data Sovereignty and Public Cloud](https://www.canada.ca/en/government/system/digital-government/digital-government-innovations/cloud-services/digital-sovereignty/gc-white-paper-data-sovereignty-public-cloud.html) * [Sustainability of Digital Formats: Planning for Library of Congress Collections](https://www.loc.gov/preservation/digital/formats/index.html) * [Cloud-Optimized Geospatial Formats Guide](https://guide.cloudnativegeo.org/) ## Explore Sample Datasets See our processing pipeline in action. View samples and documentation for our current priority processes: * [**Statistical Products**](https://www.dataforcanada.org/docs/processes/statistical_products/): Census data and other quantitative datasets. * [**Foundation**](https://www.dataforcanada.org/docs/processes/foundation/#download-and-preview/): Core geospatial layers including address point, road networks, and buildings. * [**Orthoimagery**](https://www.dataforcanada.org/docs/processes/orthoimagery/#download-and-preview): High-resolution orthoimagery. ## High-Level Overview **Note:** The data sources in the diagram below are **prioritized from left to right**, reflecting our current focus on processing high-value [statistical](https://www.dataforcanada.org/docs/processes/statistical_products/), [foundational](https://www.dataforcanada.org/docs/processes/foundation/#download-and-preview), and [orthoimagery](https://www.dataforcanada.org/docs/processes/orthoimagery/#download-and-preview) datasets first. ```mermaid flowchart TD classDef linkNode stroke:#0000EE,color:#0000EE,stroke-width:2px; subgraph ds [Data Sources] Statistical@{ shape: lean-l} Foundation@{ shape: lean-l} Orthoimagery@{ shape: lean-l} FieldImagery@{ shape: lean-l, label: "Field Imagery"} EnvironmentClimate@{ shape: lean-l, label: "Environment, Climate, & Health"} Elevation@{ shape: lean-l} WebCorpus@{ shape: lean-l, label: "Web Corpus"} end subgraph pp [Processing Pipeline] Raw@{ shape: rect, label: "Raw Data Ingestion"} Transform@{ shape: rect, label: "Transform and Optimize"} end subgraph df [Dissemination Formats] Parquet@{ shape: lean-l} FlatGeoBuf@{ shape: lean-l} MVT@{ shape: lean-l} MLT@{ shape: lean-l} PMTiles@{ shape: lean-l} GeoPackage@{ shape: lean-l} FileGeodatabase@{shape: lean-l, label: "File Geodatabase"} COG@{ shape: lean-l} Zarr@{ shape: lean-l} WebP@{ shape: lean-l} JPG@{ shape: lean-l} PNG@{ shape: lean-l} JPEGXL@{ shape: lean-l, label: "JPEG XL"} AV1@{ shape: lean-l, label: "AV1"} WARC@{ shape: lean-l} end subgraph di [Distribution Infrastructure] ObjectStorage@{ shape: bow-rect, label: "Object Storage"} Metadata@{ shape: rect, label: "FAIR Data Catalog"} HTTP@{ shape: rect, label: "Static Files"} DecentralizedDistribution@{ shape: rect, label: "Decentralized Distribution"} end subgraph ei [Experimental Infrastructure] GeoSpatialServices@{ shape: rect, label: "Geospatial Services"} %%Martin@{ shape: rect} %%GeoServer@{ shape: rect} %%ZOOProject@{ shape: rect, label: "ZOO-Project"} %%BBOXServer@{ shape: rect, label: "BBOX Server"} %%Panoramax@{ shape: rect} %%Pelias@{ shape: rect} end subgraph "Consumption" DataSci@{ shape: rect, label: "Data People & Developers"} Systems@{ shape: rect, label: "Systems"} end %% Relationships Statistical a1@--> Raw a1@{animate: true, animation: slow} Foundation a2@--> Raw a2@{animate: true, animation: slow} Orthoimagery a3@--> Raw a3@{animate: true, animation: slow} FieldImagery a4@--> Raw a4@{animate:true, animation: fast} EnvironmentClimate a5@--> Raw a5@{animate: true, animation: fast} Elevation a6@--> Raw a6@{animate: true, animation: slow} WebCorpus a7@--> Raw a7@{animate: true, animation: fast} Raw a8@--> Transform a8@{animate: true, animation: slow} Transform a9@--> df a9@{animate: true, animation: slow} Parquet a10@--> FlatGeoBuf a10@{animate: true, animation: fast} Parquet a100@--> FileGeodatabase a100@{animate: true, animation: slow} FlatGeoBuf a11@--> MVT a11@{animate: true, animation: fast} FlatGeoBuf a91@--> MLT a91@{animate: true, animation: fast} MVT a90@ --> PMTiles a90@{animate: true, animation: fast} MVT a96@ --> GeoPackage a96@{animate: true, animation: slow} MLT a92@ --> PMTiles a92@{animate: true, animation: slow} MLT a95@ --> GeoPackage a95@{animate: true, animation: slow} Zarr a12@ --> WebP a12@{animate: true, animation: slow} df a13@ --> di a13@{animate: true, animation: slow} COG a14@--> WebP a14@{animate: true, animation: slow} WebP a93@--> PMTiles a93@{animate: true, animation: slow} WebP a94@--> GeoPackage a94@{animate: true, animation: slow} WebP a103@--> JPG a103@{animate: true, animation: slow} WebP a104@--> PNG a104@{animate: true, animation: slow} JPG a101@--> FileGeodatabase a101@{animate: true, animation: slow} PNG a102@--> FileGeodatabase a102@{animate: true, animation: slow} ObjectStorage a15@--> Metadata a15@{animate: true, animation: slow} Metadata a16@--> HTTP a16@{animate: true, animation: slow} HTTP a17@--> ei a17@{animate: true, animation: slow} HTTP a18@--> DecentralizedDistribution a18@{animate: true, animation: slow} HTTP a19@--> DataSci a19@{animate: true, animation: slow} DecentralizedDistribution a20@--> Systems a20@{animate: true, animation: fast} DecentralizedDistribution a21@--> DataSci a21@{animate: true, animation: fast} Systems a22@ --> DataSci a22@{animate: true, animation: fast} ei a23@ --> DataSci a23@{animate: true, animation: slow} %% URLs click Foundation "https://github.com/dataforcanada/process-foundation-labs/" _blank click Statistical "https://github.com/dataforcanada/process-statistical-labs/" _blank click Orthoimagery "https://github.com/dataforcanada/process-orthoimagery-labs/" _blank click FieldImagery "https://github.com/dataforcanada/process-field-imagery-labs/" _blank click EnvironmentClimate "https://github.com/dataforcanada/process-environmental-climate-health-labs/" _blank click Elevation "https://github.com/dataforcanada/process-elevation-labs/" _blank click WebCorpus "https://github.com/dataforcanada/process-web-corpus-labs/" _blank click Parquet "https://github.com/apache/parquet-format/" _blank click FlatGeoBuf "https://flatgeobuf.org/" _blank click GeoPackage "https://www.geopackage.org/" _blank click FileGeodatabase "https://gdal.org/en/stable/drivers/vector/openfilegdb.html" _blank click MVT "https://github.com/mapbox/vector-tile-spec/" _blank click MLT "https://github.com/maplibre/maplibre-tile-spec/" _blank click COG "https://cogeo.org/" _blank click Zarr "https://github.com/zarr-developers/geozarr-spec/" _blank click WebP "https://developers.google.com/speed/webp/" _blank click PMTiles "https://github.com/protomaps/PMTiles/blob/main/spec/v3/spec.md" _blank click JPEGXL "https://jpeg.org/jpegxl/" _blank click AV1 "https://aomedia.org/specifications/av1/" _blank click WARC "https://github.com/iipc/warc-specifications/" _blank click HTTP "https://www.dataforcanada.org/docs/getting_started/" _blank click DecentralizedDistribution "https://www.dataforcanada.org/docs/dissemination/" _blank click Metadata "https://stac-utils.github.io/stac-geoparquet/latest/spec/stac-geoparquet-spec/" _blank click GeoSpatialServices "https://github.com/dataforcanada/geo-services-labs/" _blank click Martin "https://martin.maplibre.org/" _blank click GeoServer "https://geoserver.org/" _blank click ZOOProject "https://zoo-project.org/" _blank click BBOXServer "https://www.bbox.earth/" _blank click Panoramax "https://gitlab.com/panoramax" _blank click Pelias "https://pelias.io" _blank %% APPLY STYLES TO LINKED NODES class Foundation,Statistical,Orthoimagery,FieldImagery,EnvironmentClimate,Elevation,WebCorpus linkNode class Parquet,FlatGeoBuf,GeoPackage,FileGeodatabase,MVT,MLT,COG,Zarr,WebP,PMTiles,JPEGXL,AV1,WARC linkNode class DecentralizedDistribution,HTTP,Metadata,GeoSpatialServices linkNode ``` ## Get Involved We are actively looking for new members and partners to help shape this project. ### 🇨🇦 Infrastructure Support: Selective Mirroring To support data sovereignty, safeguard against data loss, and improve local access speeds, **we are currently seeking selective mirroring in Canada**. See our [Infrastructure](/infrastructure). We are looking for academic institutions, research organizations, or **infrastructure partners** interested in hosting mirrors of specific, high-value dataset subsets. If you have bandwidth and storage capacity to spare for the Canadian open data ecosystem, please [contact us](https://www.dataforcanada.org/contact/). ### Contributing & Feedback Right now, we primarily need **feedback on our datasets and the underlying processes** used to generate them. If you have thoughts on data quality, format optimization, or pipeline improvements, we want to hear from you. * **Discussions:** Head over to [#dataforcanada:matrix.org](https://matrix.to/#/#dataforcanada:matrix.org) to chat, or go to the individual process GitHub repos to comment on specific issues. ## License This project is licensed under the [MIT License](https://opensource.org/license/mit).