Data Tree is a free online course with all you need to know for research data management, along with ways to engage and share data with business, policymakers, media and the wider public.
The self-paced training course will take 15 to 20 hours to complete in eight structured modules. The course is packed with video, quizzes and real-life examples of data management, along with valuable tips from experts in data management, data sharing and science communication.
The training course materials will be available for structured learning, but also to dip into for immediate problem solving.
The course is for researchers, scientists and anyone working with data.
The course is especially aimed at postgraduates, PhD students and early career researchers who want to learn research data management skills, but it is for anyone who wants to get the right data habits now, including thinking of end-users of your data.
1. Data Management: Context
2. Data Management: Practicalities
3. Data Management: NERC
4. Data Application: Analysis
5. Data Application: Visualisation
6. Data & Research: Working with Policy
7. Data & Research: Working with Business
8. Data & Research: Working with the Media & Public