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Research data is often at the heart of scientific projects, it’s what you spend hours in the lab generating or in the field collecting. It forms the basis of your analysis and underpins your arguments in papers and theses.

*Bring your own lunch.

COURSE DETAILS

In this session we introduce RDM and the practical skill of developing Data Management Plans to manage your own data successfully. 

The Research Data Management (RDM) course answers these questions and more:

  • How often do you consider how you’re managing this vital resource?
  • Is your data secure and backed up?
  • How can you demonstrate its integrity if challenged?
  • Could your research make a greater impact by sharing data?
  • What happens to your hard-won data when your project ends?

LEARNING OUTCOMES

By the end of this session you will:

  • Have an appreciation of the importance of RDM and understand the research data management lifecycle.
  • Confidently approach preparing a data management plan and apply the principles to your own research.
  • Be able to locate sources of support and expertise around the University to help with different aspects of RDM.

BOOKING INFORMATION

Booking will open at the beginning of Michaelmas Term.

INTENDED FOR

Research Staff, DPhil students 

DATE/TIME 

19th November 2026| 12.30 - 14.00

TERMS & CONDITIONS

When registering for this course, please check our Terms and Conditions.

VITAE RDF SKILLS 

  • Research - knowledge & practice - Information and data literacy
  • Research - research management - open research
  • Research - research management - risk management
  • Research - research management - research integrity and ethics

The Researcher Development Framework (RDF) provides a framework for planning and supporting the personal, professional and career development of graduate students and research staff. 

Vitae (Vitae is a national organisation dedicated to realising the potential of researchers through supporting their professional and career development).