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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

Pre-requisites

None

Joining instructions

Zoom details will be emailed to you prior to the event

Key learning outcomes

By the end of this session participants will be able to:
  • Understand what Research Data Management involves and why it is important in your PhD research and future career
  • Construct a robust Data Management Plan
  • Develop strategies and best practice around key components of good RDM practice throughout the research lifecycle - from creation to preservation of your data long term
  • Understand how to share your data and how you can make use of others' data in your research
  • Make use of available tools and facilities provided by the University to manage your research data in line with institutional and funding body requirements
  • Understand Open Access Research both in terms of open access to publications and open access to data.

Presented by

Catharine Bailey, Research Data Manager, Brunel University

Specific skills focused on in this session

Research and information literacy; Research Management

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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 graduateschool@brunel.ac.uk Telephone number 01895 265935