https://github.com/au-research/your-first-step-to-fair
Overview of FAIR principles, including the easiest way to make a simple dataset FAIR
https://github.com/au-research/your-first-step-to-fair
fair training
Last synced: 5 months ago
JSON representation
Overview of FAIR principles, including the easiest way to make a simple dataset FAIR
- Host: GitHub
- URL: https://github.com/au-research/your-first-step-to-fair
- Owner: au-research
- License: other
- Created: 2021-06-10T01:06:56.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2021-06-21T23:44:50.000Z (almost 5 years ago)
- Last Synced: 2025-09-09T12:51:26.066Z (9 months ago)
- Topics: fair, training
- Language: SCSS
- Homepage: https://au-research.github.io/your-first-step-to-fair/
- Size: 96.7 KB
- Stars: 0
- Watchers: 5
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
Awesome Lists containing this project
README
[](https://doi.org/10.5281/zenodo.5009205)
# Your first step to FAIR
This directory contains the materials for a 45-minute workshop that gives a brief overview of the FAIR principles, including the easiest way to make
a simple dataset FAIR.
The [FAIR Principles](https://doi.org/10.1038/sdata.2016.18) put specific emphasis on enhancing the ability for individuals and machines to find and reuse the data. Applying the FAIR principles to research outcomes benefits the wider research community by enabling future researchers to publish, share, cite and reuse the research outputs.
This material describe each of the four foundational principles Findable, Accessible, Interoperable and Reusable and use a simple dataset for exemplifying the process of making it FAIR. Note that the FAIR Principles are aspirational and generic.
## Learning objectives
By the end of this workshop, learners will be able to:
* List the FAIR foundation principles
* Upload a dataset to Zenodo
* Write a metadata record
* Use the ARDC FAIR data self-assessment tool to inform improvements to the FAIRness of their data
## Audience
This short course is designed for graduate students, researchers, librarians and anyone who is interested in learning the basics of applying the FAIR principles to their research or work practices.
## Episodes
This repo can be view as a website via [https://au-research.github.io/your-first-step-to-fair](https://au-research.github.io/your-first-step-to-fair).
The contents and suggested time are shown below.
| Time | Episode|
| --- | --- |
| 0:00 | [Introduction]([https://au-research.github.io/your-first-step-to-fair/01-introduction) |
| 0:05 | [More FAIR than unFAIR](https://au-research.github.io/your-first-step-to-fair/02-more-fair-than-unfair) |
| 0:10 | [Well-structured data](https://au-research.github.io/your-first-step-to-fair/03-well-structured-data) |
| 0:20 | [Open data format](https://au-research.github.io/your-first-step-to-fair/04-open-data-format) |
| 0:25 | [Select a data repository](https://au-research.github.io/your-first-step-to-fair/05-select-a-data-repository) |
| 0:30 | [Write metadata](https://au-research.github.io/your-first-step-to-fair/06-write-metadata) |
| 0:40 | [Use your DOI](https://au-research.github.io/your-first-step-to-fair/07-use-your-doi) |
| 0:45 | [Assess yourself](https://au-research.github.io/your-first-step-to-fair/08-assess-yourself) |
## Contributing
Contributions are always welcome! See [`CONTRIBUTING.md`](CONTRIBUTING.md) for ways to get started.
Please adhere to the [ARDC's Code of Conduct](https://ardc.edu.au/code-of-conduct-for-ardc-activities/)
## Authors
- [Matthias Liffers](https://orcid.org/0000-0002-3639-2080)
## Licence
All content of the ARDC Your First steps to FAIR is licensed under the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) licence.
The [licence](./LICENCE.md) is also in this repo.