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In this Wiki, dedicated to support fellow academics and educators, as well as librarians and researchers, you will find a series of OER to support you and your learners to advance their critical data and IA literacies, with a particular emphasis on both the technical foundations and critical dimensions of working with data and AI systems in contemporary society.

The OERs are designed to support learners, educators, and researchers in developing a deeper understanding of how data is generated, interpreted, communicated, and governed. It also highlights how AI systems increasingly shape these processes, requiring not only technical competence but also ethical and critical awareness.

Rather than treating data as neutral or purely technical, these OERs positions data and AI as socially embedded phenomena. This means recognising how issues such as power, bias, representation, and inequality are embedded within data-driven systems and technological infrastructures.

Across its sections, the OERs integrates foundational concepts (such as types of data, research design, and the data lifecycle), applied practices (such as data storytelling and data journalism), and critical frameworks (including data justice, critical data literacy, and AI ethics) to support the development of responsible, informed, and reflective engagement with data and AI.

Note that otherwise stated, all the content in this Wiki has been adapted from presentations, research papers and outcomes or research projects and every element is licensed as CC-BY except otherwise stated

Please cite the wiki as Atenas, J. (2026). Critical Data and AI literacy: OERs wiki. GitHub. https://github.com/javieraatenas-pixel/data_literacy_AI/wiki

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flowchart TD

    A["Data Literacy & AI Literacy"]
    B["Data Foundations"]
    C["Analysis & Visualisation"]
    D["AI Literacy"]
    E["Ethics & Governance"]
    F["Data Justice"]
    G["Open Practices"]
    H["Applied Practice"]
    A --> B
    A --> C
    A --> D
    A --> E
    A --> F
    A --> G
    A --> H

    %% Key interconnections (minimal)
    B --> C
    C --> H
    D --> E
    D --> F
    F --> H
    G --> H

    %% Soft pastel styles
    style A fill:#f7d6e0,stroke:#333,color:#000

    style B fill:#d0e6f6,stroke:#333,color:#000
    style C fill:#d0f0e0,stroke:#333,color:#000
    style D fill:#fce1b4,stroke:#333,color:#000
    style E fill:#e4c1f9,stroke:#333,color:#000
    style F fill:#ffd6a5,stroke:#333,color:#000
    style G fill:#caffbf,stroke:#333,color:#000
    style H fill:#bde0fe,stroke:#333,color:#000

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Using and Sharing These Resources in LibGuides and Online Learning Environments

These resources can be easily integrated into LibGuides, OLEs, and course websites to support teaching and learning.

Embedding in LibGuides and VLEs

• Direct linking: Add links to specific sections of the resource (e.g. wiki pages) within guidance or reading lists.
• Embedding content: Where supported, embed diagrams (e.g. Mermaid, images) or copy key sections with attribution.
• Modular use: Break content into smaller learning units (e.g. workflows, principles, checklists) for reuse across modules.
• Interactive use: Pair resources with activities such as reflection prompts, discussions, or practical exercises.
• Accessibility: Ensure all embedded content includes alt text, clear structure, and readable formatting.

Adapting for Teaching

• Align resources with learning outcomes (e.g. open research practices, reproducibility, data management).
• Use diagrams and workflows as visual teaching aids in lectures or workshops.
• Incorporate resources into formative or summative assessments (e.g. students applying open practices).

Transfer the content into your GitHub

This guide shows how to transfer all content from:

• https://github.com/javieraatenas-pixel/testOSC/wiki

to another GitHub repository wiki in one continuous workflow.

Full Migration Workflow (Step-by-Step)

1. Clone the source wiki locally

git clone https://github.com/javieraatenas-pixel/testOSC.wiki.git
cd testOSC.wiki

2. Connect the destination wiki

Replace USERNAME and TARGET-REPO with your repository details:

git remote add destination https://github.com/USERNAME/TARGET-REPO.wiki.git

3. Push all wiki content to the new repository

git push destination --all

Result

Your new wiki will now include:

• All pages (.md files)
• Navigation files (_Sidebar.md, _Footer.md)
• Folder structure and organisation

4. Verify the migration

• Go to your target repository
• Click the Wiki tab
• Check that:
  • Pages load correctly
  • Links work
  • Sidebar navigation appears as expected

Final Checks After Migration

• ✅ Test internal links between pages
• ✅ Update any broken image/file links
• ✅ Review _Sidebar.md for navigation
• ✅ Ensure page names are consistent

Tip

GitHub wikis are just Git repositories, so this method works for:

• Backups
• Duplication
• Reorganising teaching materials
• Sharing content across projects