Research data management
What is RDM?
See our introduction to RDM and find out what the University and/or your funder expects.
The University of York recognises the importance of research data management (RDM) in underpinning research excellence and integrity.
These pages outline good practice in managing your research data which, if you adopt, should be beneficial to you, the University, fellow researchers and society.
Good RDM practice in three stages:
Before your project
Consider how you will look after your research data. Plan your data management, by:
During your project
Manage your live data on a day-to-day basis, by:
End of your project
To meet University and/or your funder requirements, start sharing, preserving and depositing your data by:
- deciding whether the data can be made openly available to all, should be restricted or closed
- either depositing your data with a suitable data archive or repository, or transferring your data to the University Research Data York service
- recording (retained) datasets in PURE (login required)
Help
RDM 101, an online tutorial designed to provide you with an introduction to research data management. Available to staff and research postgraduates. Complete the tutorial in the VLE
See our Guidance, support & training pages to get help with meeting the University and your funder's RDM requirements.
The Library's Research Support Team is here to help. Email us: lib-research-support@york.ac.uk
Images: La tecnología de big data revolucionará la seguridad de la información by infocux Technologies, used under CC BY-NC 2.0 license / Colour change from original.