```{toctree}
---
hidden: true
includehidden: true
titlesonly: true
---
```
<img src="https://avatars.githubusercontent.com/u/18501735?s=200&v=4" alt="workshop logo" width="300" style="margin:0 0 0 0"/>

[![Jupyter Book Badge](https://jupyterbook.org/badge.svg)](http://www.repronim.org/DGPA_workshop_2022/)
[![GitHub size](https://img.shields.io/github/repo-size/ReproNim/DGPA_workshop_2022)](https://github.com/repronim/DGPA_workshop_2022/archive/master.zip)
[![GitHub issues](https://img.shields.io/github/issues/ReproNim/DGPA_workshop_2022?style=plastic)](https://github.com/repronim/DGPA_workshop_2022/issues)
[![GitHub PR](https://img.shields.io/github/issues-pr/ReproNim/DGPA_workshop_2022)](https://github.com/repronim/DGPA_workshop_2022/pulls)
[![License](https://img.shields.io/github/license/repronim/DGPA_workshop_2022)](https://github.com/repronim/DGPA_workshop_2022)

# Welcome!

Hello everyone and welcome to the "ReproNim - DGPA" workshop focused on `reproducible neuromaging` and conducted virtually in spring 2022, we're glad to see you here!

Within these pages, we provide information on how to follow the workshop, as well as respective materials. This [jupyter book](https://jupyterbook.org/intro.html) will include the used slides and code in a way that they can be explored in an interactive manner. You can navigate through the respective sections via the TOC on the left side and within sections via the TOC on the right side. The three symbols in the top allow to enable full screen mode, link to the underlying [Github repository](https://github.com/repronim/dgpa_workshop) and allow you to download the contents as a pdf or jupyter notebook respectively. Some sections will additionally have a little rocket in that row which will allow you to interactively rerun certain analyses via cloud computing. Additionally, we support public reviews and comments through an [hypothes.is plugin](https://web.hypothes.is/) with which you can interact on the right side. All of this awesomeness (talking about the infrastructure and resource) is possible through the dedicated and second to none work of the [Jupyter community](https://jupyter.org/community), specifically, the [Executable/Jupyter Book](https://executablebooks.org/en/latest/) and [mybinder project](https://mybinder.org/).

````{margin}
```{warning}
These pages are currently under construction and will be updated continuously.
Please visit this page again in the next few weeks for further information.
````

# Reproducible Neuroimaging: a ReproNim - DGPA workshop
  

You can checkout the respective sections:

* [An overview](http://www.repronim.org/DGPA_workshop_2022/overview.html)

   What's this workshop about and how is it organized?

* [Setup](http://www.repronim.org/DGPA_workshop_2022/setup.html)

   How are things implemented and supposed to work?

* [General outline](http://www.repronim.org/DGPA_workshop_2022/outline.html)

   What are the specific topics and aspects taught?

* [Basics in reproducible neuroimagig ](http://www.repronim.org/DGPA_workshop_2022/basics.html)

   What are the basics one should know to conduct `reproducible neuroimaging`?

* [Advanced concepts in reproducible neuroimaging](http://www.repronim.org/DGPA_workshop_2022/advanced.html)

   Once the basics are clear, are there further, more advanced concepts one can utilize regarding `reproducible neuroimaging`?

* [Code of Conduct](http://www.repronim.org/DGPA_workshop_2022/CoC.html)

   Necessities for creating an open, fair, safe and inclusive learning
   experience.

# I've got a question! 🙋🏼‍♀️ ⁉️

In case you have any questions or difficulties going through the workshop, please don’t hesitate a single second to get in touch with us. A great way to do this is to [open an issue](https://github.com/repronim/dgpa_workshop/issues) on the
[GitHub site of the Workshop](https://github.com/repronim/dgpa_workshop) (also possible via the GitHub button at the top of the pages). We would also highly appreciate and value every feedback or idea or you might have (via [issues](https://github.com/repronim/dgpa_workshop) or [hypothes.is annotation feature](https://web.hypothes.is/) on the right).

## 🙏  Acknowledgements

This workshop was initialized by the [DGPA](https://dgpa.de/) and organized by the [DGPA](https://dgpa.de/) and [ReproNim](https://www.repronim.org/).