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* Fix "contributing" link + chores
Conf.py added so sphinx-autobuild works.
* Fix links and fill a bit on RO-Crate
* Fix links and typos
* Contextualize MICrate with GIDE and more
* Link to RO-Crate use cases
* Fix spelling
* Remove conf.py
as it interferes with the build
* Update docs/specification/MICrate.md
Co-authored-by: Björn Grüning <bjoern@gruenings.eu>
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Co-authored-by: Björn Grüning <bjoern@gruenings.eu>
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The entities described are intended to promote the reuse and exchange of bioimaging data.
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$\color{#D29922}\textsf{Warning: This knowledge base isn't complete}$
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$\color{#D29922}\textsf{Warning: This knowledge base isn't complete}$
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## Contributing
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**Feedback and contributions are very welcome!**
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You find instructions in how to contribute on the [contributing page](/Contributing), e.g. as [github issue](https://github.com/NFDI4BIOIMAGE/FAIR-IO/issues).
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You can find instructions on how to contribute on the [contributing page](contributing/index.md), for example by opening a [GitHub issue](https://github.com/NFDI4BIOIMAGE/FAIR-IO/issues).
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Consider adding your favorite training resources so we can make sure they are findable and reusable.
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## License
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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.
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## Acknowledgements
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This project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrasstructure – NFDI 46/1 – 501864659.
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This project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 46/1 – 501864659.
A FAIR-IO (FAIR Image Object) bundle combines acquisition and provenance metadata together with multi-resolution, chunked binary pixel data in a single cloud-compatible format for simplified sharing and re-use. As such, FAIR-IO implements
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a FAIR Digital Object (FDO, DOI:10.5281/zenodo.7824714) as illustrated below.
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a FAIR Digital Object (FDO, [DOI:10.5281/zenodo.7824714](https://doi.org/10.5281/zenodo.7824714)) as illustrated below.
<li>Use data formats that store binary data with multiple resolutions in a single cloud-compatible, chunkable format. These enable web-optimised data access and high-performance cloud storage</li>
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<li>Store data in a public available space accessible via a data specific URL</li>
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<li>Store data in a public available space accessible via a data specific URL</li>
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* Crate = a container (think of a cardboard box).
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A **RO-Crate** is a **standardised digital box** that holds all the files plus a small metadata file that tells you what each file is, who created it, when, under which licence, etc.
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It can be compared to a ZIP folder + a “data sheet” that explains what each element is, who created it, and under what conditions it may be shared.
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A **RO-Crate** is a **standardised digital box** that holds all the files plus a small metadata file that tells you what each file is, who created it, when, under which licence, etc. It can be compared to a ZIP folder + a “data sheet” that explains what each element is, who created it, and under what conditions it may be shared.
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An **attached** RO-Crate bundles the actual data together with its metadata, giving you a self‑contained, portable snapshot.
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An **attached** RO-Crate bundles the actual data together with its metadata, giving you a self‑contained, portable snapshot.
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A **detached** RO-Crate carries only the metadata and points to data that remains stored elsewhere, which keeps the crate lightweight but relies on the external locations staying accessible.
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Using RO-Crates makes your work **FAIR**, easier to cite, and ready for journal or archive submission.
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The details of how to build RO-Crates are developed openly as a [community project](https://www.researchobject.org/ro-crate/).
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### Quick visual example
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**Attached crates** keep the data inside the box → fully portable but potentially large.
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*[**OMERO.forms**]()
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*[**RO-Crate Viewer**]((https://arunaengine.github.io/ro-crate-explorer/) for exploring and visualizing RO-Crates ([github](https://github.com/arunaengine/ro-crate-explorer)
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*[**RO-Crate Viewer**](https://arunaengine.github.io/ro-crate-explorer/) for exploring and visualizing RO-Crates ([GitHub](https://github.com/arunaengine/ro-crate-explorer)).
*[**OME-NGFF-Challenge**](https://ome.github.io/ome2024-ngff-challenge/) 422.89 TB of distributed public bioimage data including RO-Crate-compliant metadata
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*[**NGFF-RFC**](https://ngff.openmicroscopy.org/rfc) discuss and capture high-level decisions within the NGFF community.
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## Resources
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*[**OME-NGFF-Challenge**](https://ome.github.io/ome2024-ngff-challenge/): 422.89 TB of distributed public bioimage data including RO-Crate-compliant metadata.
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*[**NGFF-RFC**](https://ngff.openmicroscopy.org/rfc): discuss and capture high-level decisions within the NGFF community.
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*[**RO-Crate OME Use Cases**](https://research-object.org/ro-crate): overview the uses of RO-Crate in the Open Microscopy Environment.
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## Events
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***SWAT4HCLS 2026**: poster presentation titled "RO-Crates for BioImaging" at the Semantic Web for Health Care and Life Sciences conference 2026, in Amsterdam ([abstract](https://www.swat4ls.org/workshops/amsterdam2026/programme/accepted-submissions/#RO-Crates_for_BioImaging)).
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