🌟 This project is work in progress. All feedback is welcome in the issue tracker or as comments on the cheatsheets. 🌟
Welcome to our cheatsheets designed to assist you in enhancing the FAIRness of your research data and code! :sparkles:
We understand how challenging it can be for researchers to make your research outputs Findable, Accessible, Interoperable, and Reusable (FAIR). Nevertheless, the significance of ensuring the FAIRness of your data and code cannot be overstated, as it directly impacts the transparency and influence of your research.
To simplify this task, we’ve put together a series of cheatsheets that provide easy-to-follow instructions for making your research outputs FAIR. Whether you’re embarking on your journey in data and code publication or seeking to enhance your current practices, these cheatsheets provide actionable guidance that you can readily implement. The cheatsheets cover a range of topics, including data and code sharing, metadata, READMEs, and licensing. Additionally, we’ve included links to supplementary resources and tools that can further support you throughout your FAIRness journey.
As an extension of the Data & Code cheatsheets, we introduce the specialised cheatsheets! The specialised cheatsheets are created for researchers who want to publish data and code for more specific methods or fields. The very first specialised cheatsheet focuses on eye tracking data & code to support researchers on findability, privacy and interoperability. Use the Eye Tracking cheatsheet for further guidance to publish your eye tracking data & code!
In order to advance this project of the FAIR cheatsheets, your contributions are very much appreciated. :raised_hands: Possible ways get yourself involved are:
Use this template to get yourself started:
For a more in-depth guide on how to contribute, visit the contributing.md on this GitHub page
The FAIR cheatsheets are published under the CC-BY license.