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: Online

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.

Please contact edu.intro-dm@nbis.se for questions.

Important dates

Application is closed and accepted participants have been informed. We are planning for another session of this course later in the year so keep an eye out for a future announcement.

Responsible teachers: Niclas Jareborg, Yvonne Kallberg, Elin Kronander, Wolmar Nyberg Åkerström and Markus Englund

Course fee

No fee* will be invoiced for online workshops. However, if you accept a position at the workshop and do not participate without a valid reason(no-show), you will be invoiced 1700 SEK. *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.

Application is closed and accepted prticipants have been informed. We are planning for another session of this course later in the year so keep an eye out for a future announcement.