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๐ŸŒŠ Official repository for the CIOOS Guide โ€” a comprehensive collection of documentation, best practices, and onboarding resources for the Canadian Integrated Ocean Observing System. Built with MkDocs and published via GitHub Pages.

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CIOOS Data Management Guide

The CIOOS Data Management Guide is an MkDocs project that presents the recommended best practices for managing data within the Canadian Integrated Ocean Observing System (CIOOS). This guide is designed to help data managers adopt FAIR (Findable, Accessible, Interoperable, and Reusable) and CARE (Collective Benefit, Authority to Control, Responsibility, and Ethics) principles in their workflows.

Features

  • Comprehensive documentation on data management best practices.
  • Multilingual support (English and French).
  • Visual assets and guides to assist in implementation.

Development

Live Page

From the actual reference page, you like to work on, click on the Edit link button near the top corner.

This will send you to the repository associated document. Make the desired edits, commit changes to the branch right away.

The changes should be reflected on the live page shortly.

Local Development

To run and develop the project locally, follow these steps:

  1. Clone the repository:

    git clone https://github.com/your-repo/cioos-data-management-guide.git
    cd cioos-data-management-guide
  2. Install the package manager uv See UV documentation on how to install it within the different environments:

  3. Create local environment with UV uv venv

  4. Run mkdocs in development mode uv run mkdocs server

  5. Apply changes

  6. Commit changes and push

For further documentation, refer to the mkdocs-material theme documentation.

We are also using some extensions:

Continuous Integration

Live web site is made available at: https://cioos-siooc.github.io/cioos-siooc-guide/

We use mike to manage multiple published versions of the site on GitHub Pages.

About

๐ŸŒŠ Official repository for the CIOOS Guide โ€” a comprehensive collection of documentation, best practices, and onboarding resources for the Canadian Integrated Ocean Observing System. Built with MkDocs and published via GitHub Pages.

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