Open Science in Practice 2017

Workshop for Open Science in Practice at EPFL 2017.

Schedule

1. Welcome
2. Zurich bike data analysis
3. git and GitHub as cloud backup
4. Creating a README
5. Tidying up your notebook
6. ☕️ Coffee break!
7. Collaborating on GitHub
8. Testing your work
9. Bonus material
   • binder

Slides

Slides for the day that you can comment on: https://docs.google.com/presentation/d/1BpJBOKu1h4mDJ5QOT-AMXN9id9S2KfBx2LeEnb6gqBc/edit?usp=sharing

Launch this in the cloud

Click the below link to launch this in the cloud, no installing needed: https://beta.mybinder.org/v2/gh/wildtreetech/epfl-osip-2017/master

Credits

This repository is based on many excellent guides, courses and videos created and shared openly by others. In particular:

• Software carpentry's introduction to Git
• Mozilla Science Lab's Open Leadership Training

Both are licensed under CC BY 4.0

The ideas for analysing the Zurich bike data come from Jake Vanderplas' excellent Jupyter workflow repository which is licensed under the MIT license.

All other material which is original is licensed under CC BY 4.0.