This course is covered in four half days.
Target audience
Researchers who actively generate or analyse biological data, in majority bench biologists:
- Postdocs (novice and advanced)
- Lab managers
- Young PIs
This course can also be interesting to modellers, advocates of FAIR/Open Data.
Prerequisites
- Bio/medical background
- Basics of scientific communication, publications, citations and their importance for careers
- Familiarity with spreadsheets
- Familiarity with online bioscience data resources; for example: searching publications
- Ability to navigate around files and directories on your own machine
Schedule
Day 1
- Introduction to Open Science
- Being FAIR
- Introduction to metadata
Day 2
- The research data life cycle
- Recod keeping (ELNs)
- Working with files
Day 3
- Meta(data) in Excel
- Templates for consistency
- Jupyter notebook for data analysis
Day 4
- Version control
- Public repositories
- Putting it all together / Where to next?