FAIR-IO

FAIR-IO (FAIR Image Object): A cloud-compatible format for bioimage data and metadata according to the FAIR principles.

Here you will find standards, tooling and best practices for “FAIR Image Objects” (FAIR-IO) in the bioimaging community. The entities described are intended to promote the reuse and exchange of bioimaging data.

\(\color{#D29922}\textsf{Warning: This knowledge base isn't complete}\)

Contributing

Feedback and contributions are very welcome!

You can find instructions on how to contribute on the contributing page, for example by opening a GitHub issue. Consider adding your favorite training resources so we can make sure they are findable and reusable.

License

All contents of this Jupyter book and the corresponding Github repository are licensed under CC-BY 4.0, unless mentioned otherwise.

Acknowledgements

This project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 46/1 – 501864659.