Course name: Introduction to Data Management Practices
Dates: 2027-04-13 to 2027-04-15
Location: SciLifeLab Solna
Air&Fire, Gamma-2
Tomtebodavägen 23
171 65 Solna
Contact: edu.intro-dm@nbis.se
The Introduction to Data Management Practices course will cover key aspects of research data management through lectures, demonstrations, and hands-on computer exercises. This course is intended for researchers who want to take the first steps towards a more systematic and reproducible approach to documenting, describing and managing research data.
Course content
Topics covered will include:
- Open Science and FAIR in practice
- Organising data, files and folders in research projects
- Describing data with metadata
- Documentation using Markdown
- Publishing data to public data repositories
- Cleaning tabular data and metadata with OpenRefine
- Versioning data, documents and scripts (e.g. by using Git & GitHub)
- Writing Data Management Plans
Note that the covered topics have been updated from previous course events.
Learning outcomes
At the end of the course, students will be able to:
- Describe some reasons for the principles of Open Science and FAIR
- Organise their project files and folders in a structured way
- Find and select relevant metadata standards for their research project
- Find suitable public repositories for life science data and have an understanding of the requirements for submitting data to them
- Clean up existing tabular data
- Perform basic version control of files and have means to learn more advanced skills
- Have an understanding of the benefits of data management plans (DMPs) and what a DMP should contain
Application instructions
National course open to PhD students, postdocs, researchers, and other employees at all Swedish universities who need data management skills. We also welcome applications from outside of Sweden and from the non-academic sector; for more info, contact us at edu.intro-dm@nbis.se.
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. Due to limited space, the course can accommodate a maximum of 25 participants. If we receive more applications, participants will be selected based on several criteria. Selection criteria include meeting the entry requirements, motivation to attend the course, and gender and geographical balance.
Fee: 2000 SEK for academic participants and 9500 SEK for non-academic participants. The fees for academic and non-academic participants will be invoiced to accepted participants. This includes lunches, coffee and snacks, and one-course dinners.
Please note that NBIS cannot invoice individuals.
Entry requirements: No previous programming experience is required, but you are required to bring your own laptop with the required software pre-installed. Installation instructions will be provided before the course starts.
Application closes: 2027-02-15
Confirmation to accepted students: by 2027-02-25
Link to application: https://forms.gle/4FZy532hbsj4DuLp9