Bringing Open Science to formal education 🏫


Open Science is just good science in a digital age. And if we want students and early career researchers to become good scientist, we need to start implementing Open Science in formal education: In Bachelors and/or Masters degrees, in PhD programmes, and beyond.

At the Open Science Retreat (see previous newsletter issue) we came up with a syllabus for a one semester course (12 weeks) with 1.5 hours in-person sessions each week and preparation work before each session (blended learning/flipped classroom).

We created 8 modules:

  • Introduction
  • Open Methodology
  • Open Data
  • Open Source
  • Open Access
  • Open Peer Review
  • Open Science Engagement in Academia and Beyond
  • Open Culture Change: Change Management & Mentoring Change into the System

Open Science course syllabus

Visit our course + reuse it to bring Open Science education to your institution!

If you are in a position that allows you to implement Open Science in a curriculum, feel free to reuse the material. It is licensed under CC-BY, which means as long as you cite us, you can reuse it and change it to your liking. How to cite?

Boyle, Neasa, Centeno, Eduarda, Dierkes, Jens, Heyard, Rachel, Kao, Joyce, Lakshminarayanan, Harini, PΓΆschel, Franz, & Seibold, Heidi. (2023). Open Science: Principles and Practices. Zenodo. https://doi.org/10.5281/zenodo.7818768

Easy enough, right?

You can of course also use it to get inspiration for designing smaller courses or find learning material if you are currently trying to learn more about Open Science. Because the document we created not only contains a syllabus, but also suggenstions for exercises/assignments and a rich collection of resources. Check it out!

You have thoughts on how to improve the course?

We offer a way on how to do that, too! Check out the "Improve the Course Content" section on our website.

πŸ‘‡

Thanks to the wonderful team who created this resource πŸ‘. I had a blast working with you on this πŸŽ‰.


Before saying goodbye for this week, I want to leave you with a special announcement:

Effective Statistician Conference

Next week I will speak about reproducibility at this free event.

April 25th, 2023

Come join us!

All the best and happy weekend! πŸŽ‰

Heidi


P.S. If you're enjoying this newsletter, please consider supporting my work by leaving a tip.

Thanks to the 9 wonderful people who have already sent me a tip and allow me to pay for the cost of the newsletter platform πŸ’Ÿ.

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