FAIR Galaxy Training Material
Author(s) | Katarzyna Kamieniecka Krzysztof Poterlowicz |
Editor(s) | Helena Rasche |
OverviewQuestions:Objectives:
What are the FAIR training materials?
How to test, reproduce and share your content?
How to collaborate and don’t duplicate?
Requirements:
Learn about metadata and findability
Learn how to support system and content curation
Time estimation: 30 minutesSupporting Materials:Published: Dec 2, 2024Last modification: Dec 2, 2024License: Tutorial Content is licensed under Creative Commons Attribution 4.0 International License. The GTN Framework is licensed under MITpurl PURL: https://gxy.io/GTN:T00363version Revision: 0
Encouraging computational reproducibility in research, we will present a variety of data stewardship recommendations that we have found useful in the process of training development. As part of that process, we are exploring the application of the FAIR (Findable, Accessible, Interoperable, Reusable) guidelines to the Galaxy Training Network (GTN) materials, in order to improve their secondary use and adaptation.
This tutorial outlines how to set and use existing resources to make Galaxy training development and content creation FAIR.
AgendaIn this tutorial, we will cover:
- Plan to share your training materials
- Improve findability of your training materials by properly describing them
- Give your training materials a unique identity
- Register your training materials online
- Define access rules for your training materials
- Use an interoperable format for your training materials
- Make your training materials (re)usable for trainers
- Make your training materials usable for trainees
- Make your training materials contribution friendly
- Keep your training materials up-to-date
- Conclusion
Here, we refer to a set of good practices as described in “Ten simple rules for making training materials FAIR” Garcia et al. 2020.
Image credit: Luc Wiegers and Celia van Gelder Wiegers and van Gelder 2019
Plan to share your training materials
The Galaxy Training Network (GTN) provides researchers with online training materials, connects them with local trainers, and helps promoting open data analysis practices worldwide. It provides a record of training content development and ensure materials curation via cross-domain repositories (i.g., GitHub, Zenodo). Keeping your materials in the right places from the beginning will make it possible for you to more effectively and widely distribute your work without any duplication in contribution. Instruction where to start creating a new tutorial can be found at GTN contributing tutorial.
Improve findability of your training materials by properly describing them
Describing your training materials with structured metadata is fundamental to making them FAIR resource. Creating metadata boost findability and preserve information and can be updated after publication. GTN tutorial require several mandatory metadata information such as learning objectives following Bloom’s taxonomy Chevron 2014, prerequisites, time estimate, or questions addressed by the tutorial. Content developers needs to know where to find all of the available metadata to reference it later. Schema.org is a collaborative project with a mission to create the addition of structured metadata to web pages. It describes data using shared vocabulary. It is in this spirit that the BioSchemas community initiative was created to extend the Schema.org standard to life-science resources with training content specification. GTN offers schemas command line tutorial where metadata can be added or updated. This reduces the complexity of keywords and set the scene for controlled vocabularies environment. This increases the effectiveness of metadata filtering, which decreases ambiguity and makes it easier to find and retrieve information.
Give your training materials a unique identity
To support teachers and trainers, the GTN tutorials rely on specific tags and identifiers. Adding persistent identifiers (PIDs) to training materials makes them easy to cite and aids citation counting in research metric systems McMurry et al. 2017. Providing PIDs ensure that tag/identifier will continue to work even if webpage location changes. Data used for tutorials are required to be stored at Zenodo and associated with Digital Object Identifiers (DOI).
Register your training materials online
Sharing and publishing with the GTN training helps minimize the amount of time and effort required for instructors to prepare for and run their training courses and workshops, by providing templates and a complete training infrastructure. Online registry makes your content more discoverable and accessible to wider community. GTN tutorials are automatically registered on TeSS (ELIXIR Training e-support system).
Define access rules for your training materials
The GTN materials are designed to be flexible in their use, open access and community-driven. It is important to follow the hosting website disclaimers and keep materials metadata in place.
Use an interoperable format for your training materials
GTN Tutorials aim to follow best practices in course design, so that they can be used in different environments. Content of the tutorials and slides are written in Markdown and supported by templates. Metadata are stored in YAML and workflows in JSON. Self-contained structure allow others to tune or reuse existing content.
Make your training materials (re)usable for trainers
To help others determine whether the training materials are relevant and adaptable to their particular situations, metadata published alongside training materials should include context and sufficient description including: contributor details, license, description, learning outcomes, audience, requirements, tags/keywords, duration and last revision date Applying the proper licence and tagging training materials with metadata can make it simpler for others to (re)use and adapt them.
GTN provide strong technical support and set of contributing self learning material.
Make your training materials usable for trainees
Prerequisites and learning outcomes are particularly helpful metadata. To be effective, learning objectives must be written using active verbs that describe the expected trainee behaviours as well as the knowledge, skills, and expertise they will have received. Rich metadata requirements and SMART—Specific (Measurable, Attainable, Relevant, and Time-bound) learning outcomes following Bloom’s taxonomy Chevron 2014 helps to clarify which trainees will benefit most from the training. Self-learning structure of the GTN materials supported by slides and video walkthroughs/tours adds another layer of usability.
Make your training materials contribution friendly
GTN have clear guidelines for contribution and involvement. Community supported CONTRIBUTING files and chat offer the chance to exchange information such as contact details, expectations for contributions, and more. All contributors should be listed and thanked in the acknowledgements; how to cite the tutorial and give credit to contributors can be found at the end of each tutorial.
Keep your training materials up-to-date
It is crucial to keep your training materials up-to-date and so you are aware of any new features, trends, or improvements in the topic (such as updated tools or databases). Transparent peer-review and curation process in collaborative and open set up ensure materials quality.
Conclusion
There are many ways to improve the training content. It is crucial that we work together to make training materials FAIR so that everyone can benefit from them. These simple suggestions are intended to encourage dialogue and cooperation among Galaxy training community and help bring the latest developments to users.
The Galaxy Training Network is an example of a robust, effective Community of Practice. For more information please look at this great article Hiltemann et al. 2023, the corresponding FAIR guidelines “How does the GTN ensure our training materials are FAIR?” and follow short introduction to FAIR data stewardship.