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Researchers: Managing research & data

Reference Management

Referencing help

The referencing online guide provide advice on good academic practice and referencing using different referencing styles including Harvard and IEEE.

Reference Management Software

Reference Management Software packages enable you to:

  • Create a database of references imported from online resources such as databases and websites
  • Insert references directly into a Word document
  • Automatically create a reference list in a range of different referencing styles, including DMU Harvard

RefWorks

RefWorks is the software supported by the University. You can access Refworks via the Internet and create an acocunt with your DMU email. Instructions and advice s provided on the RefWorks online guide. 

Two versions currently exist.  We recommend that you use latest version "New Refworks" if you are a new user, but our migration guides can provide assistance in choosing which version to use.

A number of other open source software are available, including:

 

Research Data Management

 

"Research data management concerns the organisation of data, from its entry to the research cycle through to the dissemination and archiving of valuable results" (Whyte and Tedds, 2011).

Managing your data is important for a number of reasons:

  • Research integrity - RDM is a way to assure research integrity and avoid reputational risk, for yourself and the institution
  • Legislature/Regulatory compliance - RDM makes it easier to comply with Data Protection legislation and Freedom of Information requests
  • Compliance with funders - Increasingly funders require data management plans at the grant application stage or shortly after a project has started
  • Avoids the risk of data loss and ensures data is kept securely
  • Easily find and access your data over the lifespan of the project
  • Data is backed up, providing long-term preservation

The online Research Data Management guide provides advice on data management planning, fudning requirements, ethics and intellectual property, organising, preserving and sharing data, finding and using data and DMU requirements.