Managing qualitative data (in collaboration with Cambridge Data Champions) PrerequisitesNew
Where on Earth is that file from two years ago? Can I share this personal data? I heard that my funder has specific requirements, what are they?
If you've asked these or similar questions, you're not alone. Data management is a key skill for researcher but many start new projects without thinking through these issues properly. Following this session you will be a well-informed data steward, making sure that you store, organise and share your data appropriately all the way through your projects.
This is a blended session: you will find out about the basic elements of good data management in your own time, then join two Cambridge Data Champions who will be sharing their experiences and tips for data management during a live session on Microsoft Teams.
- Researchers
- PhD students
Before the live session on 7 October, explore the basic elements of Research Data Management on this page: https://libguides.cam.ac.uk/research-skills/rdm. Consider how you would apply this to your work: do these guidelines apply to qualitative data, or should we be thinking differently?
If your research involves human participants, you may also find it helpful to read this guidance: https://qdr.syr.edu/guidance/human-participants
Bring any questions to the live session.
Number of sessions: 1
# | Date | Time | Venue | Trainers |
---|---|---|---|---|
1 | Wed 7 Oct 2020 13:00 - 14:00 | 13:00 - 14:00 | Dr B. Gini, Sacha Jones, Ben Jarman, Chen Qu |
You will learn:
- how to store and backup up data
- how to organise data
- what to do with protected data (personal or commercially sensitive)
- why sharing data is important and how to do it
- how to write a Data Management Plan
Participants are encouraged to review these resources ahead of the session: https://libguides.cam.ac.uk/research-skills/rdm. The live session on 7 October will be a discussion with Sacha Jones, Ben Jarman and Chen Qu, with an opportunity for participants to ask questions.
Independent learning - around 1.5-2 hours. Live webinar - 1 hour.
Booking / availability