Course schedule

Licenced under CC-BY 4.0 and OSI-approved licenses, see licensing.

Note that times are preliminary and subject to change

Pre-course Q&A 11 April

10:00 1h Optional Zoom session for questions regarding installation etc.


18 April

09:00 Introduction
09:15 Open Science and FAIR
10:00 Coffee
10:30 Data Organisation Practices, part 1
12:00 Lunch
13:00 Data Organisation Practices, part 2
14:00 Leg stretcher
14:10 Metadata, part 1
15:15 Coffee
15:30 Metadata, part 2
16:45 Wrap up and preparations for day 2 and 3
17:00 End of day 1


19 April

09:00 Introduction to Rstudio
09:45 Coffee
10:00 Introduction to scripted analysis with R, part 1
11:00 Versioning of Data and Code using Git, part 1
12:00 Lunch
13:00 Versioning of Data and Code using Git, part 2
13:45 Cleaning tabular data with OpenRefine, part 1
15:10 Coffee
15:30 Cleaning tabular data with OpenRefine, part 2
16:45 Wrap up and preparations for day 3
17:00 End of day 2


20 April

09:00 Introduction to scripted analysis with R, part 2
10:00 Coffee
10:20 Introduction to scripted analysis with R, part 3
12:00 Lunch
13:00 Data Publication
13:40 Leg stretcher
14:00 Data Management Plans
15:10 Coffee
15:30 Wrap-up
16:00 End of course