National course open for PhD students, postdocs, researchers and other employees within all Swedish universities. This course will introduce important aspects of Research Data Management through a series of lectures and hands-on computer exercises. The course is intended for researchers that want to take the first steps towards a more systematic and reproducible approach to analysing and managing research data.

Topics covered will include:

• Open Science and FAIR in practice
• Organising data, files and folders in research projects
• Versioning data, documents and scripts with Git
• Describing data with metadata
• Cleaning tabular data and metadata with OpenRefine
• Submitting data to public data repositories
• Writing basic recipes for data analysis and visualisation with R (Links to an external site.)

Learning objectives:

• To get acquainted with, and reflect upon, the principles of Open Science and FAIR
• To understand the importance of metadata, and how it affects “FAIRness”
• To learn how to organise files to make project work more efficient
• To learn to clean up messy tabular data and metadata
• To learn how to find, and submit to, relevant public repositories for data publication
• To learn to apply simple version control practices on files
• To learn to start using R to analyse data