d4c-community/presentations/presentation-01/slides-backup.md

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title: Data for Canada / the Universe Background and Strategy
author: Diego Ripley
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# Data for Canada / the Universe

## Background and Strategy
Presented By: Diego Ripley

Date: April 10, 2026

<img src="/dataforcanada-logo.svg" class="w-60 h-auto mx-auto" />

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"Space is big. You just won't believe how vastly, hugely, mind-bogglingly big it is. I mean, you may think it's a long way down the road to the chemist's, but that's just peanuts to space."

Douglas Adams, Hitchicker's Guide to the Galaxy, #1

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```mermaid {scale: 0.5}
flowchart TD
    Client(["🌐 S3 Client / User"])
    Gateway["<b>s3.dataforcanada.org</b>\nS3-Compatible Gateway"]

    Client -->|"S3 API Request"| Gateway

    Gateway -->|"sourcecooperative bucket"| AWS
    Gateway -->|"backblaze-ca-east-006 bucket"| BB
    Gateway -->|"cloudflare-apac bucket"| CFAPAC
    Gateway -->|"cloudflare-enam bucket"| CFENAM
    Gateway -->|"tigris bucket"| TIGRIS

    subgraph AWS ["☁️ Amazon Web Services"]
        AWSNode["📍 Oregon, United States"]
    end

    subgraph BB ["🔵 Backblaze B2"]
        BBNode["📍 Toronto, ON, Canada"]
    end

    subgraph CFAPAC ["🟠 Cloudflare R2"]
        CFAPACNode["📍 Asia Pacific Region"]
    end

    subgraph CFENAM ["🟠 Cloudflare R2"]
        CFENAMNode["📍 Eastern North America"]
    end

    subgraph TIGRIS ["⚡ Tigris Data"]
        TIGRISNode["11 Regions Worldwide 🌍\nAuto-routes to nearest location\nfor lowest latency"]
    end

    style Gateway fill:#1a5f7a,color:#fff,stroke:#0d3d52
    style Client fill:#2d6a4f,color:#fff,stroke:#1b4332
    style AWSNode fill:#ff9900,color:#000,stroke:#cc7a00
    style BBNode fill:#e03c31,color:#fff,stroke:#b02d24
    style CFAPACNode fill:#f6821f,color:#fff,stroke:#c4681a
    style CFENAMNode fill:#f6821f,color:#fff,stroke:#c4681a
    style TIGRISNode fill:#6c3483,color:#fff,stroke:#512e6b
```

---
---
- This slide can go into size of dataset in specific bucket. For example, sourcecooperative has X TBs worth of data.

---
layout: iframe-unscaled
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level: 4
url: https://objex.labs.dataforcanada.org/
---

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- And this is the feeling I want to capture.
-->

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<div v-click>
  <a href="https://github.com/datafortheuniverse/d4u-service-main-site/issues/1">Github Issue</a>
</div>

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# Notes
::left::
- Keep questions after presentation

<!--
- Please keep questions after presentation as I may lose my focus if I get interrupted. If you do have a question, put it on the chat, ideally with slide number.
-->

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# Table of Contents
<Toc text-sm minDepth="1" maxDepth="3" />

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# Guide By

* [Cloud-Native Geospatial Storage Cheatsheet](https://bdon.github.io/cng-storage-guide/)
* [Guidance on Assessing Readiness to Manage Data According to the Findable, Accessible, Interoperable and 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)
* [Cloud-Optimized Geospatial Formats Guide](https://guide.cloudnativegeo.org/)
* [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)
* [Science Needs a Social Network for Sharing Big Data](https://hackmd.io/wKKm4cIDR6a9kYwZ3srVFg?view)
* [Sustainability of Digital Formats: Planning for Library of Congress Collections](https://www.loc.gov/preservation/digital/formats/index.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)

<!--
- Skip over this on next presentation, people are focused on the technical side.
-->

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# In Plain Words

<v-clicks>

- Make sure that data lasts as long as humanly possible presenting all perspectives by creating efficient data and processes for long-term archival.
- I want what I am building to be in libraries.
- Create processes, tools, infrastructure, datasets to empower everyday citizens, to make their lifes just a little easier, to filter all of the noise.
- Yes, **ethics** is at the core of everything.

</v-clicks>

<!--
- This is where the MCP project that was mentioned to me by Geoff can be introduced.
-->

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---

- And for any citizen to contribute to its resilience. This is why my project makes use of P2P technologies (ex. [BitTorrent](https://tixati.com/specs/bittorrent), [IPFS](https://ipfs.tech/), [libp2p](https://libp2p.io/))
- Hence the [data dissemination strategy](https://www.dataforcanada.org/docs/d4c-infra-distribution/).

<!--
- Yes, that does mean utilizing everyday citizens in decentralized distribution of data
-->

---
layout: center
---

```mermaid {scale: 0.5}
flowchart TD
    classDef linkNode stroke:#0000EE,color:#0000EE,stroke-width:2px;
    subgraph mirrors [Mirrors & Preservation]
        SourceCoop[Source Cooperative]
        Tigris[Tigris]
        Community[Community]
        Cloudflare
        Zenodo[Zenodo]
        InternetArchive[Internet Archive]
        Metadata[FAIR Data Catalogue]
    end

    Sources[Open Data Sources]
    Processes[Data Packages]
    Artifacts[Systems-Ready Data]
    P2P["P2P Technology"]
    
    subgraph Consumers [Consumption]
        Users[Data People & Developers]
        Systems[Systems]
    end

    %% Flow with Animations
    Sources a1@<--> Processes
    a1@{animate: true, animation: slow}
    
    Processes a2@<--> Artifacts
    a2@{animate: true, animation: slow}
    
    Artifacts a3@<--> Metadata
    a3@{animate: true, animation: fast}

    Metadata a20@<--> SourceCoop
    a20@{animate: true, animation: slow}
    Metadata a21@<--> Tigris
    a21@{animate: true, animation: fast}
    Metadata a22@<--> Community
    a22@{animate: true, animation: fast}
    Metadata a23@<--> Zenodo
    a23@{animate: true, animation: slow}
    Metadata a24@<--> Cloudflare
    a24@{animate: true, animation: fast}
    Metadata a25@<--> InternetArchive
    a25@{animate: true, animation: slow}
    
    %% Mirror Connections
    mirrors a12@<--> Consumers
    a12@{animate: true, animation: slow}
    

    %% Hint, the FAIR Data Catalogue can also be decentralized 🤯
    %%Metadata a30@<--> P2P
    %%a30@{animate: true, animation: fast}
    mirrors a9@<--> P2P
    a9@{animate: true, animation: fast}

    %% P2P Connections
    P2P a10@<--> Consumers
    a10@{animate: true, animation: fast}
    
    style Sources fill:#FFB74D,stroke:#EF6C00,color:#000000
    style Artifacts fill:#B71C1C,stroke:#7F0000,color:#FFFFFF
    %% Opera concertmaster
    style Metadata fill:#B71C1C,stroke:#7F0000,color:#FFFFFF
    class Metadata Metadata
    style Processes fill:#B71C1C,stroke:#7F0000,color:#FFFFFF
    class Processes Processes
    style SourceCoop fill:#B71C1C,stroke:#7F0000,color:#FFFFFF
    style Tigris fill:#B71C1C,stroke:#7F0000,color:#FFFFFF
    style Cloudflare fill:#FFB74D,stroke:#EF6C00,color:#000000
    style Zenodo fill:#FFB74D,stroke:#EF6C00,color:#000000
    style Community fill:#B71C1C,stroke:#7F0000,color:#FFFFFF
    style P2P fill:#B71C1C,stroke:#7F0000,color:#FFFFFF
    style InternetArchive fill:#66BB6A,stroke:#2E7D32,color:#000000
    style Users fill:#B71C1C,stroke:#7F0000,color:#FFFFFF
    style Systems fill:#B71C1C,stroke:#7F0000,color:#FFFFFF
    
    %% Click Actions
	click P2P "https://libp2p.io/" _blank
    click Tigris "https://d4c-pkgs.t3.storage.dev/" _blank
    click Sources "https://www.dataforcanada.org/#high-level-overview" _blank
    click Processes "https://www.dataforcanada.org/docs/d4c-pkgs/" _blank
    click Metadata "https://stac-utils.github.io/stac-geoparquet/latest/spec/stac-geoparquet-spec/" _blank
    click Zenodo "https://zenodo.org/communities/dataforcanada/" _blank
    click SourceCoop "https://source.coop/dataforcanada/" _blank
    click InternetArchive "https://archive.org/details/@diegoripley/uploads/" _blank

    %% APPLY STYLES TO LINKED NODES
    class Sources linkNode
```

<!--
- There's a reason that the arrows are two ways. From data packages to open data sources means that we as a community need to provide specific feedback on datasets released by the government. Like I said, we can start by prioritizing datasets on significance to the community. If we need a union to push back on datasets, so be it.
-->

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---

# Solutions

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# Assess

Mapping **data portals** and all **data assets** in Canada. 


<!--
---
layout: iframe-unscaled
url: https://directory.opendatasociety.ca/directory
level: 2
---
-->

<!--
- This is a start. We need to do better.
- Create parquet dataset of the data portals.
- Actually assess how difficult it is to export data from each data portal. For example, 
-->

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---

## Rank
- Rank datasets according to impact on Canadians (ex. COVID-19 death cases by [dissemination block](https://www150.statcan.gc.ca/n1/pub/92-195-x/2021001/geo/db-id/db-id-eng.htm)).


---
layout: iframe-unscaled
url: https://dataindex.us/collections/
level: 2
---

<!--
- Example of how Americans do it.
-->

---
layout: iframe-unscaled
url: https://s3.dataforcanada.org/tigris/d4u-datapkg-web-corpus/archive/1777398477.100686/www12.statcan.gc.ca/census-recensement/2021/ref/dict/98-301-x2021001-eng.pdf
level: 2
---

<!--
- For example, we can do this to Statistics Canada data. Terms/Definitions can change over time, as well as units, file formats, geographic levels, etc.
-->

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---

# Archive

- Download datasets and make into efficient long-term storage file formats.
- Make them available to the community via something like [Backblaze B2 Overdrive](https://www.backblaze.com/cloud-storage/b2-overdrive), which has a throughput speed ranging from 100Gbps up to 1Tbps (minimum 1PB commitment). 
  - $15 USD / TB
  - $15K USD per month, $180K per year
- Have unique identifiers to the datasets.

<!--
- $15 USD per TB. $15K per month, or $180K per year.
- Unlimited egress and requests.
- You only get charged for storage.
- This is the goal of my project. I aim to have 1PB of data by 2036, potentially sooner.
-->

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---

- Download them via something like [geoparquet-io](https://geoparquet.io/) that enables downloading from Esri data portals and WFS servers. It supports both vector data and raster data.

<!--
- I know the two authors of this project. They are incredibly smart, understand the problem that data ecosystems have, and are working on resolving the problem.
- For vector data, you are able to create highly efficient vector and raster datasets. This is systems to systems file formats.
-->

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layout: full
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zoom: 0.9
---

# File Formats
```mermaid {scale: 0.25}
flowchart TD
    classDef high fill:#B71C1C,stroke:#7F0000,color:#FFFFFF
    classDef med fill:#FBC02D,stroke:#F9A825,color:#000000
    classDef low fill:#66BB6A,stroke:#2E7D32,color:#000000
    classDef medOrange fill:#FFCC80,stroke:#FB8C00,color:#000000
    classDef darkOrange fill:#EF6C00,stroke:#E65100,color:#000000
    classDef highLight fill:#FFCDD2,stroke:#E57373,color:#000000
    classDef white fill:#fff,stroke:#388E3C,color:#000000

    subgraph sot [Long-Term Storage]
        Parquet["Parquet"]:::highLight
        Lance:::high
        FlatCityBuf:::high
        Zarr:::highLight
        GeoTIFF:::medOrange
        JPEGXL["JPEG XL"]:::highLight
        AV1:::highLight
        FAIRCat["FAIR Data Catalogue"]:::high
    end

    FlatGeoBuf:::med

    subgraph vt [Vector Tiles]
        VectorTiles["Mapbox Vector Tiles"]:::low
        NextGenVT["Next-Gen Vector Tiles"]:::high
        GLB["glTF GLB"]:::high
    end

    subgraph visuals [Imagery]
        AVIF:::high
        WebP:::medOrange
        JPG:::low
        PNG:::low
    end

    subgraph pkg [Portable Databases]
        PMTiles:::medOrange
        SQLite:::darkOrange
    end

    subgraph ent [Enterprise]
        FileGDB["File Geodatabase"]:::white
    end

    sot <--> FlatGeoBuf
    FlatGeoBuf --> vt
    sot <--> visuals
    vt <--> pkg
    visuals <--> pkg
    sot <--> ent
    visuals --> ent


    style sot fill:#EF9A9A,stroke:#C62828,color:#000000
    style vt fill:#FBC02D,stroke:#F9A825,color:#000000
    style visuals fill:#FBC02D,stroke:#F9A825,color:#000000
    style pkg fill:#FFB74D,stroke:#EF6C00,color:#000000
    style ent fill:#66BB6A,stroke:#2E7D32,color:#000000

    click FlatCityBuf "https://github.com/cityjson/flatcitybuf" _blank
    click Parquet "https://github.com/apache/parquet-format/" _blank
    click FlatGeoBuf "https://flatgeobuf.org/" _blank
    click SQLite "https://www.geopackage.org/" _blank
    click FileGDB "https://gdal.org/en/stable/drivers/vector/openfilegdb.html" _blank
    click VectorTiles "https://github.com/mapbox/vector-tile-spec/" _blank
    click NextGenVT "https://github.com/maplibre/maplibre-tile-spec/" _blank
    click GLB "https://registry.khronos.org/glTF/specs/2.0/glTF-2.0.html#glb-file-format-specification" _blank
    click Lance "https://docs.lancedb.com/lance" _blank
    click GeoTIFF "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 FAIRCat "https://stac-utils.github.io/stac-geoparquet/latest/spec/stac-geoparquet-spec/" _blank
```

<!--
- Technical people will understand this diagram. These are the most efficient file formats that will help my project reach its goals. These file formats will change throughout time, with older data being converted to more efficient file formats. Currently these file formats enable next generation applications. The more efficient you move data between systems, devices, etc, the faster you can do what you need to do, it's as simple as that.
- For what I think you are aiming for, I would look into Lance file format as it opens up AI applications.
-->

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---

# Standard Interfaces

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hideInToc: true
---

## S3

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---

## P2P

[BitTorrent](https://tixati.com/specs/bittorrent), [IPFS](https://ipfs.tech/), [libp2p](https://libp2p.io/))

<v-click>
  <a href="https://setiathome.berkeley.edu/">SETI@home</a>
</v-click>

<!--
- IPFS can run anywhere, libp2p can use webrtc to enable P2P transfers as well.
- We can utilize every citizen, sort of what SETI did and run this on every country.
-->

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---

## Other

SSH, etc.

<!--
- Can use use something like [Cloudflare Containers](https://developers.cloudflare.com/containers/)
-->

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---

## Discreet Global Grid Systems (DGGS)
- [Standard](https://docs.ogc.org/DRAFTS/21-038r1.html)
- [Pilot](https://aidggs-pilot.hartis.org/) *hint*, it pairs well with MCP

<!--
- AI models fail at geography, but DGGSs provides a standard interface that they can understand the world
-->


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hideInToc: true
url: https://aidggs-pilot.hartis.org/
---

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# Unique Identifiers

- ARKs are open, mainstream, non-paywalled, decentralized persistent identifiers that you can start creating in under 48 hours. They identify anything digital, physical, or abstract.
- Archival Resource Key (ARK) - [Spec](https://arks-org.github.io/arkspec/draft-kunze-ark.html), [Overview](https://arks.org/about/ark-overview/)

---
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# Ledger
- Unique identifier
- Added/Updated/Deleted
- File hash
- Location
- Reputation - across time by stakeholders

<!--
- This ideal system would be hosted by every stakeholder.
- This is our shared understanding of how we saw these events, here's the data (news papers, statistical data or any type of data).
-->

---
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---

# Data Packages

```mermaid {scale: 0.6}
flowchart TD
    subgraph ds [Data Sources]
        Statistical@{ shape: lean-l}
        Foundation@{ shape: lean-l}
        EnvClimate@{ shape: lean-l, label: "Environment, Climate, & Health"}
        Orthoimagery@{ shape: lean-l}
        FieldImagery@{ shape: lean-l, label: "Field Imagery"}
        Elevation@{ shape: lean-l}
        WebCorpus@{ shape: lean-l, label: "Web Corpus"}
    end

    DataPkgs@{ shape: rect, label: "Data Packages"}

    Statistical e1@<--> DataPkgs
    e1@{animate: true, animation: slow}
    Foundation e2@<--> DataPkgs
    e2@{animate: true, animation: slow}
    EnvClimate e4@<--> DataPkgs
    e4@{animate: true, animation: fast}
    Orthoimagery e3@<--> DataPkgs
    e3@{animate: true, animation: slow}
    FieldImagery e7@<--> DataPkgs
    e7@{animate: true, animation: fast}
    Elevation e5@<--> DataPkgs
    e5@{animate: true, animation: slow}
    WebCorpus e6@<--> DataPkgs
    e6@{animate: true, animation: fast}

    style EnvClimate fill:#B71C1C,stroke:#7F0000,color:#FFFFFF
    style Orthoimagery fill:#FBC02D,stroke:#F9A825,color:#000000
    style FieldImagery fill:#FBC02D,stroke:#F9A825,color:#000000
    style WebCorpus fill:#66BB6A,stroke:#2E7D32,color:#000000
    style Elevation fill:#66BB6A,stroke:#2E7D32,color:#000000
    style Statistical fill:#B71C1C,stroke:#7F0000,color:#FFFFFF
    style Foundation fill:#B71C1C,stroke:#7F0000,color:#FFFFFF
    style DataPkgs fill:#B71C1C,stroke:#7F0000,color:#FFFFFF

    classDef linkNode stroke:#333333,color:#333333,stroke-width:1.5px
    class FieldImagery linkNode

    click DataPkgs "https://github.com/dataforcanada/d4c-pkgs" _blank
    click Foundation "https://github.com/dataforcanada/d4c-datapkg-foundation" _blank
    click Statistical "https://github.com/dataforcanada/d4c-datapkg-statistical" _blank
    click Orthoimagery "https://github.com/dataforcanada/d4c-datapkg-orthoimagery" _blank
    click FieldImagery "https://github.com/dataforcanada/d4c-datapkg-field-imagery" _blank
    click EnvClimate "https://github.com/dataforcanada/d4c-datapkg-environment-climate-health" _blank
    click Elevation "https://github.com/dataforcanada/d4c-datapkg-elevation" _blank
    click WebCorpus "https://github.com/dataforcanada/d4c-datapkg-web-corpus" _blank
```

---
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hideInToc: true
---

Can download all datasets at https://source.coop/dataforcanada

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# Statistical
- This is how our governments see the world and how what they are supposed to use when making decisions.
- We need to request that statistical data be tied to individual authors, so that we can start to trust institutions. If someone's credibility in the community becomes a factor, I believe that individuals will fight to keep their credibility with the community.
- Open processes.

<!--
- How did you reach these conclusions? AKA For this given action that your government is taking, what specific datasets did you use? Who did the analysis, etc.
- "Experts" is no longer good enough, give me their names, and we will create a process to track trust of individuals through time.
-->

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---

<a href="https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/fig/index-eng.cfm?ID=F1_1">
  <img src="./geographic-hiearchy.webp" class="w-100 h-auto" />
</a>

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hideInToc: true
---

# Statistical Tables

- I did this in 2025 for 7918 Statistics Canada data tables.
- Started with 3314.57 GB of CSVs and turned them into 25.73 GB.

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url: https://www.diegoripley.ca/blog/2025/what-i-learned-from-processing-all-statcan-tables/
---

<!--
- I wrote a detailed blog article.

# TODO:
- Add code link
- Add link to
-->

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hideInToc: true
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---

https://source.coop/dataforcanada/d4c-datapkg-statistical/processed/tables

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# Census Data

---
layout: iframe-unscaled
hideInToc: true
level: 4
url: https://docs.google.com/spreadsheets/d/14FmFGaqU7EDZ19zRZXBNX4La4VeIDXa7kbgP_g7ai9s/edit?usp=sharing
---

---
layout: iframe-unscaled
hideInToc: true
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url: https://static-01.dataforcanada.org/processed/ca_statcan_2021A000011124_d4c-datapkg-statistical_census_pop_dissemination_areas_digital_2021_v0.1.0-beta/#12.2/45.4294/-75.74374/0/60
---

---
layout: iframe-unscaled
hideInToc: true
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url: https://static-01.dataforcanada.org/processed/ca_statcan_2021A000011124_d4c-datapkg-statistical_census_pop_federal_electoral_districts_2013_representation_order_digital_2021_v0.1.0-beta/#4.93/56.91/-111.54
---

---
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---

[2021 Census Data](https://www.dataforcanada.org/docs/d4c-pkgs/d4c-datapkg-statistical/statistics_canada/census_data/)

<!--
- Can preview the entire hierarchy on a webmap or download the optimized datasets. Each has a Digital Object Identifier.
-->

---
layout: center
level: 3
---

# Foundation
- Minimum information that a civilization needs to start from scratch.
- Buildings, roads, address points.
- Placenames
  - [GNBC](https://geonames.nrcan.gc.ca/search-place-names/search)

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# Environment, Climate and Health

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- I did a coop term at Health Canada.
- This theme is not well defined at the moment. The plan is to first 
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<img src="/health-canada-coop-pregnant-women-health-study.webp" class="w-100 h-auto" />

[Source](https://journals.lww.com/epidem/fulltext/2011/01001/assessing_the_value_of_including_global_position.252.aspx), [Internet Archive Snapshot](https://web.archive.org/web/20240915054043/https:/journals.lww.com/epidem/fulltext/2011/01001/assessing_the_value_of_including_global_position.252.aspx)

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<img src="/can-air-01.webp" class="w-150 h-auto" />

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- In 2014 while I briefly worked on making pollution data more easy to visualize.
- A friend of mine, [Remy Godzisz](https://www.iuno.ca/) created these mock-ups for me.
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<img src="/can-air-02.webp" class="w-150 h-auto" />

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<img src="/can-air-03.webp" class="w-150 h-auto" />

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<img src="/can-air-04.webp" class="w-150 h-auto" />

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And now citizens can all create their own air quality stations. 

See [opensensor.space](https://opensensor.space/) for more information.

<img src="/opensensor-hardware.webp" class="w-100 h-auto" />

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- This is from the same person that is working on geoparquet-io. I recommend looking into his projects
- This is a solid project from a technical level. It records air quality information in the most efficient manner (parquet). Everything is open source.
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# Orthoimagery

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https://github.com/dataforcanada/d4c-datapkg-orthoimagery/issues


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- Currently working on downloading 100TB of [QC, CAN](https://github.com/dataforcanada/d4c-datapkg-orthoimagery/issues/14) orthoimagery.

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# Web Corpus

<img src="/internet-archive-understanding-9-11.webp" class="w-150 h-auto" />

[Source](https://archive.org/details/911/day/20010911)

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- What data supports this news article, what people does it involve, who does it affect, where did the event take place (if it had a location).
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# Field Imagery
<v-clicks>

- Latitude, Longitude, heading
- Can be audio, video, etc.
- Any device (ex. drone, webcam, )

</v-clicks>

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- Application: this is how all the stakeholders interpreted this event.
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::left::

# Toronto Englinton LRT

::right::
<SlidevVideo controls=true autoplay muted=true>
  <source src="https://data.source.coop/dataforcanada/d4c-datapkg-field-imagery/archive/ca-on_dataforcanada-2026A00053520005_d4c-datapkg-field-imagery_test_field_imagery_01_2026-02-15-1542-1742/004_20260215_154915.mp4" type="video/webm" />
  <p>
    Your browser does not support videos. You may download it
    <a href="https://data.source.coop/dataforcanada/d4c-datapkg-field-imagery/archive/ca-on_dataforcanada-2026A00053520005_d4c-datapkg-field-imagery_test_field_imagery_01_2026-02-15-1542-1742/004_20260215_154915.mp4">here</a>.
  </p>
</SlidevVideo>

<!--
- First, from the train.
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<SlidevVideo controls autoplay muted=true>
<source src="https://data.source.coop/dataforcanada/d4c-datapkg-field-imagery/archive/ca-on_dataforcanada-2026A00053520005_d4c-datapkg-field-imagery_test_field_imagery_01_2026-02-15-1542-1742/045_20260215_171454.mp4" type="video/webm" />
  <p>
    Your browser does not support videos. You may download it
    <a href="https://data.source.coop/dataforcanada/d4c-datapkg-field-imagery/archive/ca-on_dataforcanada-2026A00053520005_d4c-datapkg-field-imagery_test_field_imagery_01_2026-02-15-1542-1742/045_20260215_171454.mp4">here</a>.
  </p>
</SlidevVideo>

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[Download](https://source.coop/dataforcanada/d4c-datapkg-field-imagery/archive/ca-on_dataforcanada-2026A00053520005_d4c-datapkg-field-imagery_test_field_imagery_01_2026-02-15-1542-1742)

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- Can download the raw data here.
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<SlidevVideo controls autoplay muted=true>
<source src="https://data.source.coop/dataforcanada/d4c-datapkg-field-imagery/archive/ca-on_dataforcanada-2026A00053520005_d4c-datapkg-field-imagery_test_field_imagery_02_2026-03-07-1435-1627/044_20260307_150815.mp4" type="video/webm" />
  <p>
    Your browser does not support videos. You may download it
    <a href="https://data.source.coop/dataforcanada/d4c-datapkg-field-imagery/archive/ca-on_dataforcanada-2026A00053520005_d4c-datapkg-field-imagery_test_field_imagery_02_2026-03-07-1435-1627/044_20260307_150815.mp4">here</a>.
  </p>
</SlidevVideo>

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- Then from a few weeks later from the car.
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[Download](https://source.coop/dataforcanada/d4c-datapkg-field-imagery/archive/ca-on_dataforcanada-2026A00053520005_d4c-datapkg-field-imagery_test_field_imagery_02_2026-03-07-1435-1627)

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# Communicate to Your Audience and Create Trust
- [The crisis we face is not technical; it is cultural](https://www.cloreleadership.org/provocation_paper/the-crisis-we-face-is-not-technical-it-is-cultural-legitimacy-place-and-the-systems-that-shape-change/)
- [Culture and 21st Century Challenges – Reframing Culture as the Foundation of Place and Identity](https://www.cloreleadership.org/research/working-paper-culture-and-21st-century-challenges-reframing-culture-as-the-foundation-of-place-and-identity/)
- [Connecting Complex Ecosystems: The Craft of Making "Collaboration" Tangible](https://caribou.global/publications/connecting-complex-ecosystems-the-craft-of-making-collaboration-tangible/)
- [Human Interoperability](https://open.substack.com/pub/ramage123/p/human-interoperability?utm_campaign=post-expanded-share&utm_medium=web)

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- Last, and most important of all, talk to your audience where they are at.
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Collaboration 

- In essence: speak people's language. A scientist might be interested in the facts, other stakeholders into other things.

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# Matrix Bridges

<a href="https://matrix.org/ecosystem/bridges/">
  <img src="./matrix-bridges.webp" class="w-100" />
</a>

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- Create an AI model that uses your MCP servers and disseminate via Matrix Bridges to reach all audiences.
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# Questions?

[Main Website](https://www.dataforcanada.org) · [GitHub](https://github.com/dataforcanada)