Contents

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About the content of this Jupyter Book

This page is currently under construction and will be updated continiously. Pleae visit this page again in the next feew weeks for further information.

DOI

Welcome!

Hello everyone and welcome to the GORELLA module “Methodological work in the neurosciences”, we’re glad to see you here! For more information on the GORELLA project see here.

Within these pages, we provide the entire materials and content of the module as it was taught at the Philipps-University Marburg during the summer term 2021.

What’s all this now?

GORELLA stands for “Generalizable Outline for Realistic Empirical Life Science Lectures and their Applications”. It is a framework aimed to improve openness and sustainability in scientific teaching and training. GORELLA is designed to help prepare and supply lecture content in a way that it is FAIR for as many people as possible.

Applied to the module at hand, this includes the following sections:

  • Overview & Setup

    What’s the problem, how do we propose to solve it and what do we need for this?

  • General procedure

    How are things implemented and supposed to work?

  • General outline

    What are the specific topics and aspects taught?

  • Project & data management

    All things gotta start somewhere and scientific projects are no exception to that, but how? Additionally, how should projects and data be managed throughout its life cycle?

  • Data analyses

    How to obtain insights from data?

  • Results communication

    Where should the acquired knowledge to be disseminated?

  • Symposium

    What to do about outreach and discourse creation?

  • Student projects

    Making sure the work and progress of the participants is transparent and documented.

  • Questionnaires

    Was it worth it and how can this be evaluated?

  • GORELLA tutorial

    Are there guidelines on how to start?

  • Code of Conduct

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

I’ve got a question!

In case you have any questions or difficulties following the content of this your lecture, 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 this lecture. We would also highly appreciate and value every feedback or idea or you might have.