Data management
Research data management (RDM) is the creation, storage, maintenance, disclosure, archiving and long-term preservation of research data. It is important in order to:
- Ensure the quality, findability and accessibility of research data;
- Increase the visibility and impact of research;
- Comply with requirements from the university and research funders.
Data management plan (DMP)
All information about your data, including online help and courses
Data Management Regulations
University regulations on the management, storage and provision of research data
FAIR data and software
Best practices and support on how to make your data and software FAIR (Findable, Accessible, Interoperable, Reusable)
Research data management checklist
A guide to sound data management at every stage of your research
Storage finder
Find the right storage solution for your research data, based on your needs.
Data management in grant applications
Advice on how to write a section on data management in your grant application
Knowledge Security
How do you assess whether an international academic collaboration is permissible and desirable? Here you can find more information on knowledge security and tools & tips that will help you assess a collaboration.
Long-term data retention
Satisfying the long-term data retention requirements
MRI Data Sharing Guide
A flowchart showing what MRI data you can share and where to find support
Research data services catalogue
All the facilities for data management and storage for your research