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Getting started with Research Data Management

This session aims to inform researchers about good practices in the management and sharing of research data as increasingly required by research funders and publishers. It is applicable across all disciplines. The course builds on the importance of Research Data Management (RDM) in any research project and equips you with tools and knowledge to assist with - planning, organising and ultimately sharing your research data.

Aimed at

Doctoral Researchers



Joining instructions

Zoom details will be emailed to registered participants before the event

Key learning outcomes

By the end of this session, you will be able to:
  • Understand what Research Data Management (RDM) is, why it’s important in your doctoral research and future career and the benefits of doing it well
  • Appreciate what the term ‘research data’ encompasses, including the variety and extent of data included
  • Understand the concept of the research data lifecycle and the various data-related activities that take place at each stage of the lifecycle
  • Make use of available tools and facilities provided by the University to manage your research data in line with institutional and funding body requirements
  • Use this knowledge to complete a basic Data Management Plan (DMP)

Presented by

Catharine Bailey, Research Data Manager, Brunel University

Specific skills focused on in this session

Select a date

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Brunel 3D Development Tool

Develops the following:

Skills needed to do your research and career

Researcher Development Framework (RDF) Competencies

Develops skills relevant to the following domains of the RDF:

This workshop is provided by

Brunel Graduate School Logo

Email address Telephone number 01895 265935