Introduction to Data Management practices

Course name: Introduction to Data Management Practices

NB! Originally planned to be held in December 2020. Due to the covid-19 pandemic situation it has been postponed to April 2021.

Course dates: 2021-04-13 to 2021-04-15
Course location: Uppsala University, SciLifeLab, BMC, Husargatan 3, Uppsala

National course open for PhD students, postdocs, researchers and other employees within all Swedish universities. The course is geared towards life scientists wanting to take the first steps towards a more systematic and reproducible approach to analysing and managing research data.

We follow the recommendations and guidelines from Swedish authorities and Folkhälsomyndigheten. The course is designed to be an interactive face-to-face event. However, we follow the situation carefully and will modify the delivery of the course if needed.

Please contact for questions.

Important dates

Application opens: Will be announced later
Application closes: Will be announced later
Confirmation to accepted students: one week after application closes
Responsible teachers: Niclas Jareborg, Yvonne Kallberg, Elin Kronander, Wolmar Nyberg Åkerström and Markus Englund

If you do not receive information according to the above dates please contact:

Course fee

A course fee* of 1700 SEK will be invoiced to accepted participants. This includes lunches, coffee and snacks. *Please note that NBIS cannot invoice individuals

Course content

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

Entry requirements

Required for being able to follow the course and complete the computer exercises

  • Ability to bring your own laptop with OpenRefine, Git, and RStudio installed for the practical exercises. Installation instructions will be provided before the course starts.

No previous programming experience is required.

Due to limited space the course can accommodate a maximum of 10 participants. If we receive more applications, participants will be selected based on several criteria. Selection criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance.

Apply here