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Collaborate and analyse

Funders are increasingly funding large projects that are collaborative efforts across institutions and even across countries.  This provides its own challenges as projects are often large-scale and multi-disciplinary.

The UK Data Service provides lots of advice which we refer to on a regular basis 

  •  - where multiple research partners can share all their material
  •  - in order to keep track of all the data you create/produce/acquire

Sharing data

To support collaborative working of this sort, it is very easy to  share project folders in your SharePoint site.

Alternative service: File Drop

is a service which makes it easy to send and receive files up to 2.0 GB between members of the University (staff and students) and between the University and outside (3rd parties, e.g., research collaborators) without using email which often has tight restrictions on the size of attachments.

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Some advice on data analysis is provided by:

  • The Archaeology Data Service has Guides to Good Practice on Data Analysis and Visualisation including GIS, CAD and 3D Models
  • LinkedIn Learning has lots of courses on R, SPSS, Matlab and NViVo – see the playlist we have created on Vitae’s Knowledge base which includes these courses: