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
- Standard procedures, protocols and policies
- File sharing
- Data resources library - where multiple research partners can share all their material
- Data inventory for research centres - 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
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.
Some advice on data analysis is provided by:
- The Archaeology Data Service has Guides to Good Practice on Data Analysis and Visualisation http://guides.archaeologydataservice.ac.uk/g2gp/Contents 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: A1: Knowledge Base