Course schedule

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

Times are preliminary and subject to change

30 September Pre-course Q&A

10:00–11:00 Optional Zoom session for questions regarding installation etc.


11 October

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


12 October

09:00 Cleaning tabular data with OpenRefine, part 1
10:10 Coffee
10:30 Cleaning tabular data with OpenRefine, part 2
12:00 Lunch
13:00 Introduction to scripted analysis with R, part 1
14:10 Leg stretcher
14:20 Introduction to scripted analysis with R, part 2
15:10 Coffee
15:30 Introduction to scripted analysis with R, part 3
16:45 Wrap up and preparations for day 3
17:00 End of day 2


13 October

09:00 Introduction to scripted analysis with R, part 4
10:00 Coffee
10:20 Versioning of Data and Code using Git
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