Free Mathematica Courses – Learn Data Science, Data Visualisation and Image Processing for Free

The University has a site wide licence for Mathematica 12 which is available to all researchers and students. Wolfram Mathematica are currently offering a range of free online tutorials in a range of topics including data science, data visualisation and image processing.

Happy Birthday MDS!

Launched on 1st April 2019, the Mobile Development Service from Research IT is now one-year-old. It has proven to be a very popular addition to the Research IT catalogue over the last twelve months. The service has contributed to research projects across all 3 faculties, delivering 9 apps to date with 8 more in development or planned for the remainder of 2020.  Find out more on our blog.

Restricted Data Research in the Cloud

If your research involves restricted data you may feel that your computational choices are reduced. Gary Leeming, Project Design Lead for Research Lifecycle Programme Project S “Develop a service to manage restricted data”, discusses what the University is doing to open up more options.

Research Lifecycle Programme Updates

Developing a service to manage highly restricted data

Lots of research projects make use of restricted data, such as personal medical data or confidential commercially-sensitive data, but we know that accessing, capturing or using such data can be challenging. Project S from the Research Lifecycle Programme is looking at what services and tools researchers need to be able to work securely and more easily with this data and we need to work with researchers to do this.

The team are currently doing some research to learn more about how people currently plan and run projects using high-risk data so we can understand how we might make better tools and services for researchers in the future.

A variety of different voices and experiences need to be involved so that the team can jointly develop solutions that work better for researchers and governance.  If are new or experienced in using high-risk data or if you avoid doing it because it’s too difficult then we want to hear from you.   We would also like to hear from you if you support researchers using high-risk data, for example, research support, IG, research governance etc.

The research will be in the form of short interviews – 30 to 60 minutes and will be conducted remotely.  If you’re willing to get involved, please contact:

• Rachel.Thompson@manchester.ac.uk
• Sarah.Thew@manchester.ac.uk

Open Workshops: Research Networking and Collaboration

The research community are invited to have their say on networking and collaboration through engagement workshops.

The Research Lifecycle Programme (RLP) is investing in systems and tools to support research networking and collaboration (). The programme team are keen to get input from academic staff, early career researchers, and PS staff who support research communities to help shape the future of networking and collaboration. Four workshops will be held to have your say and you are welcome to attend any that is convenient for you.

Please see the below links to register for one of the events. There is also an option to submit ideas if you are unable to attend.

Attendees will be asked to submit ideas before the workshop via a website called Well Sorted (up until Monday 20 April) and once ideas are collected, will be asked to organise / prioritise ideas (up until Monday 4 May). This will form the structure of the discussions at the workshops.

• Monday 11 May (2pm – 4pm)
• Tuesday 12 May (10am – 12pm)
• Tuesday 12 May (1pm – 3pm)
• Thursday 14 May (1pm – 3pm) (PGR focused)
• I can’t attend, but would like to submit ideas  

Please note: These workshops will take place online, via Zoom.

If you have any queries, please contact rlp@manchester.ac.uk

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