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Research Data Management: Postgraduate Researchers (PGRs)

Research Data Management (RDM) Library guide

Introduction

Postgraduate Researchers (PGRs)

Postgraduate researchers are expected to manage their research data to the highest standards and wherever possible to publish the data in BORDaR (BU's research data repository). This will then be linked to thesis' deposited in BURO (BU's publications repository). For an introduction to what research data management is, see the links above. For guidance, follow the links at the bottom of the page.

It's recommended that all PGRs attend the library's workshop 'Research Data Management: An Introduction', offered as part of the Doctoral College's Research Development Programme. Go to the Doctoral College: Researcher Development Programme area in Brightspace to find out more and book yourself a slot. This is open to all PGRs, whether you're just starting or you've been here a while.

8A Code of Practice for Research Degrees

The 8A Code of Practice for Research Degrees states that:

  • PGRs are required to comply with BU’s Research Data Policy. This policy identifies BU’s commitment to the UK Research & Innovation (UKRI) Common Principles on Data Policy. It provides a framework for compliance with the specific requirements of research funders to make publically funded research data “openly available with as few restrictions as possible in a timely and responsible manner that does not harm intellectual property” (Research Councils UK, 2014). 
  • The preparation of research data for storage may take time, and PGRs should start considering how the data can be preserved and shared at the point at which data collection begins
  • Externally funded PGRs must meet the funder’s requirements for data management. Funder requirements take precedence over the BU policy for the electronic storage of the final thesis. Details of UK research funders’ requirements are available from the Digital Curation Centre (DCC)

(Section 3.2.4. Research Data Policy, p.15)

Working with research data