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Considerations for

FAIR video material

Chapter 6 – FAIR Training Material by Design

October 21-22, 2025

Ineke Luijten, PhD

Cite presentation as: Ineke Luijten (2025) Considerations for FAIR video material (Session 6 presentation). In course: Training material made FAIR by design, organized by: VIB, SciLifeLab, NBIS. Available under a CC BY 4.0 license. https://doi.org/10.5281/zenodo.14987327

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Explain why video materials should follow FAIR principles and identify key challenges in doing so
Evaluate how FAIR a given video is, using real examples
Apply minimum FAIR-by-design practices when creating or sharing training videos
Generate and use transcripts or captions to enhance accessibility and interoperability (via Whisper AI or similar tools)

Learning outcomes

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Have you used / are you planning to use video material in your training?

What kind of video material?

Why / why not?

Why FAIR video materials matter

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Video media is a great tool for enhancing & contextualizing learning!

Why FAIR video materials matter

Improved retention and understanding: combining visual and auditory information engages multiple senses → dual coding theory ^{1, 2}
Supports flexible, self-paced learning: learners can pause, rewind, or rewatch segments at their own pace ^{3, 4}
Enables asynchronous learning: learners access materials anytime, anywhere
Provides authentic demonstrations: e.g. when teaching lab techniques, workflows, or software use
Increases accessibility and inclusion: captions, transcripts, and translations make content more widely usable

¹Paivio A (2009) Mental Representations: A dual coding approach, Oxford Psychology Series. https://doi.org/10.1093/acprof:oso/9780195066661.001.0001

² Mayer RE (2009) Multimedia Learning. 2nd ed. Cambridge University Press. https://doi.org/10.1017/CBO9780511811678

³Guo P, Kim J, Rubin R. (2014) How video production affects student engagement: An empirical study of MOOC videos. L@S '14: Proceedings of the first ACM conference on Learning @ scale conference 41-50. https://doi.org/10.1145/2556325.2566239

⁴Zhang D, Zhou L, Briggs RO, Nunamaker JF (2006) Instructional video in e-learning: Assessing the impact of interactive video on learning effectiveness. Information & Management 43(1): 15-27, https://doi.org/10.1016/j.im.2005.01.004

Video materials are very valuable for learning and it is encouraged to add them to your course material.

First, video is a powerful medium because it engages multiple senses — both visual and auditory — which improves retention and understanding. This is supported by dual coding theory, which shows that combining different channels of information makes learning more effective.

Second, videos support flexible, self-paced learning. Learners can pause, rewind, or rewatch sections whenever they need, which is particularly helpful for complex topics.

Third, video allows asynchronous learning, meaning learners can access content anytime and anywhere, without being tied to a classroom or schedule.

Fourth, videos provide authentic demonstrations. For example, they’re perfect for showing lab techniques, workflows, or software use in a way that’s hard to convey through text alone.

Finally, videos increase accessibility and inclusion. By including captions, transcripts, and translations, we make content available to a wider audience, including those with hearing impairments or learners who speak different languages.”

Background on references

Dual Coding Theory (Paivio, 1971; 1986)

Core idea: We process information through two distinct but connected channels — one for verbal information (text, speech) and one for visual information (images, diagrams, video).
Learning implication: When both channels are used together (e.g., narration + visuals), learners build stronger mental connections and remember material better.
Focus: Cognitive processes (how information is represented and stored in the brain).
Common application: The theoretical foundation for Mayer’s Cognitive Theory of Multimedia Learning (CTML).

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Open lectures

Zoom recordings

Podcasts

Stock footage with reuse licenses

Screen recordings

Voiceovers

Webcam or smartphone footage

Powerpoint slideshows

Livestreams

Professional studio recordings

Recorded interviews

Why FAIR video materials matter

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Action!

Find a short video (e.g., on YouTube, Protocols.io, Zenodo, or another platform) that you might want to include in your course.�Once you’ve found one, take 5–10 minutes to assess:

Is it Findable? → located at a trusted hust? Does it have a DOI?

Is it Accessible? → Is access level/language defined? Is it possible to download a copy?

Is it Interoperable? → Are there captions? Is the format standard?

Is it Reusable? → Is there a clear license? Is proper attribution given to (non)human creators? Is there versioning info?

Why FAIR video materials matter

Links to sample videos

Exercise 5 min: individually, students find a short video that they might want to include in their course. They can also include 1 of the sample videos that are linked with the QR codes.

For the chosen short video, they need to assess if it is:

Findable

Include the video link in the DOI record (and vice versa) so both are cross-referenced.
Choose a reliable video host that aligns with your target audience and long-term availability (e.g., institutional repository, Zenodo, YouTube, etc.).
Add descriptive titles, keywords, and metadata to improve discoverability.

Accessible

Clearly define access type and language in the video’s metadata (e.g., open, restricted, embargoed).
Offer a downloadable version where possible to avoid access loss if the host changes.

Interoperable

Attach transcripts or captions (.srt or .txt) to the DOI record or repository entry.
Use standard, widely supported video formats (.mp4, .mov, .webm) for compatibility.
Ensure metadata follows community or repository standards (e.g., Dublin Core, schema.org).

Reusable

Apply a clear, open license (e.g., CC-BY, CC-BY-SA) to indicate reuse permissions.
Provide proper attribution information for all contributors.
Clearly label any AI-generated or AI-assisted content, following institutional or platform guidelines.
Include creation and version information to support reuse and citation.

They can asses with help of the Checklist for minimally FAIR video material where they can documents their findings

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Why FAIR video materials matter

Evaluate

Was the video material you chose FAIR?

How easy would it be for you to reuse this material?

If not easy: what information would you need to make reuse easier?

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Why FAIR video materials matter

It makes it easy to locate videos
It supports asynchronous learning when videos can be viewed or downloaded anytime, anywhere
It enables using videos across platforms and tools
It allow others to legally adapt or remix content
It ensures videos remain available and understandable over time

FAIR video = more impact from the effort you put into creating it

To enable reuse and long-term value videos need to be FAIRified! There are numerous benefits to having FAIRified video material:

First, FAIRifying videos makes them easy to locate. Proper metadata and standardized descriptions mean anyone can find the content they need quickly.

Second, it supports asynchronous learning. When videos are easily accessible online, learners can watch or download them anytime and anywhere.

Third, FAIR videos can be used across different platforms and tools. This interoperability ensures that content can be integrated into various learning environments without technical barriers.

Fourth, FAIR videos allow others to legally adapt or remix content. This encourages collaboration, reuse, and the creation of derivative works in teaching or research.

Finally, FAIR practices ensure that videos remain available and understandable over time. With proper documentation, metadata, and file formats, the content won’t get lost or become obsolete.

In short, making videos FAIR increases the impact of the time and effort you put into creating them — your content reaches more people and stays useful for longer.

Advantages to FAIR video material

1. Discoverable & Accessible

Others can easily find and view your materials.
Supports asynchronous and flexible learning.

2. Reusable & Citable

Clear licensing and attribution allows others to reuse legally.
DOI and versioning make materials trackable and referable.

3. Interoperable & Inclusive

Captions, transcripts, and standard formats make content usable across platforms and by diverse learners.
Enhances accessibility for non-native speakers or learners with disabilities.

4. Preserves Knowledge

Proper metadata and hosting choices ensure materials are maintained for the long term.

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What’s the biggest barrier for you in using and FAIRifying video material?

Barriers to creating FAIR video materials

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Barriers to creating FAIR video materials

Technical skills

File size / storage limits

Time consuming

Metadata complexity

Licensing & permissions

Infra-

structure

AI & Ethics

Knowledge gaps

Here are some of the most common obstacles encountered when creating or sharing FAIR video materials:

Technical Skills: Recording, editing, adding metadata, and creating captions require some know-how.
Licensing & Permissions: Confusion about copyright, reuse rights, and privacy when sharing video content.
File Size & Storage Limits: High-quality video files are large, making them harder to host on institutional repositories or platforms like Zenodo (often limited to 50 GB per upload).
Metadata Complexity: Video materials often need multiple layers of metadata (e.g., author, content, format, transcript, licensing), and it’s not always clear where or how to include these.
Time consuming: Creating, editing, and annotating videos takes planning and effort.
AI & Ethics: Emerging tools (e.g., for transcription or editing) raise questions about bias, transparency, and attribution.
Infrastructure: Not all organizations have repositories or tools for storing videos with FAIR metadata.
Knowledge Gaps: Limited awareness of FAIR video practices or suitable hosting platforms.

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AI and FAIR video material

Create

Generate ideas, scripts, storyboards:

ChatGPT, Claude, Gemini

Edit

Refine video, combine visuals:

CapCut, Canva Video

Host / Publish

Share with metadata & licensing:

Zenodo, YouTube, Vimeo

Record

Capture lectures, demos etc:

Microsoft Text-to-Speech

Transcribe

Generate captions and transcripts:

Whisper AI

Evaluate

Review viewer engagement:

YouTube Analytics, EdX insights

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AI and FAIR video material

Create

Generate ideas, scripts, storyboards:

ChatGPT, Claude, Gemini

Edit

Refine video, combine visuals:

CapCut, Canva Video

Host / Publish

Share with metadata & licensing:

Zenodo, YouTube, Vimeo

Record

Capture lectures, demos etc:

Microsoft Text-to-Speech

Transcribe

Generate captions and transcripts:

Whisper AI

Evaluate

Review viewer engagement:

YouTube Analytics, EdX insights

BUT: Use with caution! Is AI generated content FAIR? How to ensure quality and accuracy? How does AI affect creativity and learner engagement? Who is the author, how should we credit them?

However, while AI can speed up production and reduce workload, it’s important to remember that using AI does not automatically make content FAIR!

For example, an AI-generated transcript may improve accessibility, but if it is not properly formatted, licensed, or shared with metadata, it will not be findable or reusable.

Likewise, AI platforms may store outputs in proprietary formats or behind authentication walls, limiting accessibility and interoperability. Ensuring FAIRness thus requires deliberate steps by the creator, such as applying open licenses, adding persistent identifiers, using open formats, and providing rich, structured metadata.

In addition, it is important to reflect on how AIT tools might affect learning? What biases might specific AI output be subject to? Where would you not want to use AI tools? Can discuss among students

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AI and FAIR video material

Crediting and Citing AI-Enhanced Video Materials

Crediting AI:

For AI tools that had a creative or technical role: “Script generated with ChatGPT (OpenAI, 2025)”

Describing the role of AI:

Explain how an AI tool was used, e.g. “Voiceover synthesized using Microsoft Azure TTS”

Crediting AI in metadata or end credits:

“Video created by [Name], 2025.�Script drafted with ChatGPT (OpenAI, version x.x).�Captions generated using Whisper (OpenAI).�Edited in CapCut.”

Citing AI in reference lists or FAIR records: �Luijten, I. (2025). Creating FAIR video materials [Video].�Script generated with ChatGPT (OpenAI). Captions via Whisper (OpenAI).�Zenodo. https://doi.org/10.xxxx/zenodo.xxxxx

Licensing AI generated content:

License with CC BY or CC BY-SA to allow reuse with attribution, state if remixing or AI reuse is permitted.

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AI and FAIR video material

WhisperAI: adding transcripts to videos

Findable: search engines and repositories can index the text and help

others discover your content.

Accessible: people with hearing impairments or those who prefer reading

can still engage with the material.

Interoperable: the content can be reused across different platforms,

formats, or languages.

Reusable: the text can be cited, translated, remixed, or integrated into

other learning materials, all while preserving the original meaning and context.

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Action!

Generate a caption or transcript to a sample video

Recommended: Using the SciLifeLab serve instance of Whisper (recommended, easy)

Independent: Using an on-device GUI such as Whisper Transcription

Challenge mode: Installing your own local instance of Whisper

AI and FAIR video material

Link to sample video

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The word error rate (WER) for the large Whisper model is 4.1% for English and 7.6% for Swedish.

AI and FAIR video material

Evaluate

Is the transcript accurate?

Is it usable?

How does it help me achieve FAIR learning aims?

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Action!

Publish your own FAIR-by-design training video

Use the sample video to embed or feel free to upload your own video to your host of choice

Attribute the video and choose a license

Add your caption file

Adding FAIR video & transcript to your sample course

Links to sample video

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You now have FAIR video material in your course!

Cite presentation as: Ineke Luijten (2025) Considerations for FAIR video material (Session 6 presentation). In course: Training material made FAIR by design, organized by: VIB, SciLifeLab, NBIS. Available under a CC BY 4.0 license. https://doi.org/10.5281/zenodo.14987327

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Create

Open source:

Blender
Kdenlive
OBS Studio

Proprietary:

iMovie
Adobe Premiere
Many others

Hosting options:

YouTube
Vimeo
Nextcloud
Google Drive
Zenodo*

Capture:

Zoom
Powerpoint
Your smartphone
OBS Studio

Open material:

Pexels
Pixabay

Edit

Release

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