Welcome!
Contents
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 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 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 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, specifically, the Executable/Jupyter Book and mybinder project.
Reproducible Neuroimaging: a ReproNim - DGPA workshop¶
You can checkout the respective sections:
-
What’s this workshop about and how is it organized?
-
How are things implemented and supposed to work?
-
What are the specific topics and aspects taught?
Basics in reproducible neuroimagig
What are the basics one should know to conduct
reproducible neuroimaging?Advanced concepts in reproducible neuroimaging
Once the basics are clear, are there further, more advanced concepts one can utilize regarding
reproducible neuroimaging?-
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 on the GitHub site of the 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 or hypothes.is annotation feature on the right).
🙏 Acknowledgements¶
This workshop was initialized by the DGPA and organized by the DGPA and ReproNim.