New Policy – Research Data Storage on Local Devices & Platforms


A new policy has been announced on Research Data Storage which affects all researchers.  The University very strongly discourages the use of local storage devices (e.g. USB disks) and “in-house” data storage platforms (e.g. local NAS servers), otherwise known as “point storage solutions”.

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Research Life Cycle – progress, opportunities and impacts


We plan to update you regularly on the Research Life Cycle programme so you can keep fully up to date with progress and, more importantly, find out how you can be involved and contribute to the project.

The Research Life Cycle (RLC) aims to deliver uplift in management and support of Research within the University to support the goal of world class research. This will be done through a set of targeted substantial investments to provide streamlined research support and upgrade in the e-Research infrastructure of the University.  An outline budget of £15M over 5 years has been set.

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Research IT Involved in Major BBC Partnership

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The university has recently announced a 5 year partnership with BBC Research and Development and seven other UK Universities to unlock the potential of data in the media. We are pleased to say that Research IT staff will be using their expertise in several areas of this important project.

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Research IT Club Nov – speakers announced!


The next Research IT club will take place on the 29th Nov, slightly earlier so as to avoid clashing with Christmas festivities!  It will feature updates from our research infrastructure and software engineering teams.  Our two feature presentations will look at how Research IT helped to improve the comparison, annotation and mark-up of a collection of scans and the introduction of a new data service for users of NHS data.  To attend the event please register so we know how much coffee to order in!

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Write Software as Part of Your Research?


Have you heard of Software Carpentry (SWC) and Data Carpentry (DC)? Both organisations have the aim of upskilling researchers so they can upgrade their computational and programming skills and their data analysis skills respectively through a series of workshops and “train the trainer” events.

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