The Research IT Platforms team recently completed the deployment of Nvidia H200 servers within the University’s flagship high performance compute resource – the Computational Shared Facility.

Meet Stavrina Dimosthenous who is one of the leads from the Manchester Research Software Community (MRSC). The group brings together people involved with or interested in research software - either your own code, open source or commercial!

Catch up on the presentations from the recent UoM UK Biobank Users meeting which focused on new research from across the University and updates from UK Biobank.

A new special interest group has been launched for anyone interested in process datalogging, experimental automation, and the interfaces between hardware and software at the University. Find out more about the aims of the group and how to get involved.

A two-phase collaboration between the Cai Lab and the Research Software Engineering team transformed a legacy Strain Database into a modern, scalable platform. The upgrade improved reliability, usability, and flexibility to better support the ongoing research needs of the lab.

When researchers are getting ready to publish a paper, they increasingly want to publish their software as well. Quite often, though, research software isn’t initially ready for public consumption. This is where Research IT can help.

Research Lifecycle Programme (RLP) has recently enabled a significant investment in the University’s flagship high performance computing platform, CSF3.

Research IT was well represented at the recent N8 CIR DRI Retreat in Manchester where the key themes were better communication with researchers, promoting shared platforms, and tackling careers, AI, and IT sustainability.

IT Services and Research IT are looking for Proof of Concept pilot projects using Amazon Web Services. Not only will you have access to AWS but you will also have support from IT Services and Research IT to define and deliver your project.

In this second part, we present some excellent options available to UoM researchers for storing and wrangling sensor data, focusing on our Research Data Storage (RDS) and our high-performance compute resource (the Computational Shared Facility; CSF), along with some simple guidelines and links to our extensive documentation.

This 2-part how-to guide outlines some key considerations if you are planning to use sensor data for your research. In this issue we present two important questions to ask before embarking on your data processing journey. The next part will look at the options available to UoM researchers for storing and processing sensor data, focusing on our Research Data Storage (RDS) and our central High Performance Computing resource, the Computational Shared Facility (CSF)

Our Research Software Engineering (RSE) Department has launched its new Terms of Engagement, setting out a series of commitments from RSEs and researchers governing how we collaboratively deliver our services and help the research we support produce the best possible outcomes.