# FAIR-IO
FAIR-IO (FAIR Image Object): A cloud-compatible format for bioimage data and metadata according to the [FAIR principles](https://www.go-fair.org/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!**

Please make your contributions via [github issue](https://github.com/NFDI4BIOIMAGE/FAIR-IO/issues).

## License
All contents of this Jupyter book and the corresponding Github repository are licensed under [CC-BY 4.0](https://creativecommons.org/licenses/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.