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 email@example.com for questions.
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: firstname.lastname@example.org
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
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:
Required for being able to follow the course and complete the computer exercises
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.