Interested in learning more about how to manage your research data, in accordance with best practice and the concept of FAIR data?
The DocEnhance Data Stewardship course organized by the University Library and High North Academy gives an introduction to research data management - a transferable and much sought-after skill both within and outside of academia.
The course consists of three modules:
Module 1 is a MOOC that goes through theory and best practice of data management.
Module 2 is run as a workshop with live sessions where participants meet to work together on activities related to the theory in Module 1.
Module 3 puts theory into practice where participants apply the knowledge acquired in Modules 1 and 2 during a placement with a local business or public sector employer.
The course workload corresponds to 3 ECTS. Passing all three exams (one per module) entitles participants for the DocEnhance Data Stewardship Diploma, which can be used to apply for credits in the home faculty.
The course is tailored to the needs of PhD candidates but we also welcome postdocs, as the content has proven relevant for this group as well.
IMPORTANT DATES:
Module 1: MOOC
Digital kick-off meeting: 12.02.2024
Estimated work load: 16 hours
Module 2: Workshop
Digital kick-off meeting: 11.03.2024
In-person workshop (Breivika): Week 15
Estimated workload: 5 full days (including pre-assignments)
Module 3: Internship
End of May/beginning of June. The timing of the internship will be arranged in conjunction with the placement host.
Estimated workload: Maximum 3 days
Deadline for registration: 07.02.2024
Minimum participants: 10
Maximum participants: 30
Link to registration form: Data Stewardship Registration
Contact persons: Katie Smart & Huw Grange (questions about content and schedule), Ireen Vieweg (administrative questions)
More information about the content and other practicalities:
What do other people think about the course? Check out this short YouTube video: https://youtu.be/aScu8jXtjA4?si=euVFtT0H15oiRiSY
Upon completion of this course, you should have a better understanding of the connection between the overarching goal of research data management and the actual practices, you should be better equipped to manage your current research data, and you should be better prepared for working with new data in future projects - be it inside or outside academia.