If you are a researcher and would like to discuss how your local RSE group could support and accelerate your work please visit our research software engineering homepage.
If you would like your work as a Research Technical Professional in the N8 to feature on our pages, please follow the link below and fill in a short survey so we can share it with the N8 community.
Provide case study information
Please e-mail: Sam Bland, the N8 CIR Research Software Engineer lead from the University of York, if you would like to learn more about the N8 CIR Research Software Engineering community.
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Julie WilsonDigital Health - University of YorkDr Julie Wilson is a professor in applied statistics in the Department of Mathematics at the University of York. She develops methods for data pre-processing and analysis and has experience in statistical pattern recognition, classification, and machine learning techniques.RSEs were able to help her research by rewriting code (originally in C) in R, which significantly reduced computation time.
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Helena TendedezDigital Health - Lancaster UniversityRespire is a data dashboard that brings together data about patients who have Chronic Obstructive Pulmonary Disorder from two collaborating NHS trusts. The information is presented to clinicians in a way that ensures that care decisions are based on reliable data, saving time and improving patient care.In this project, RSEs helped to develop visual prototypes of the app to help increase user engagement with the project.
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Peter-John Mäntylä NobleDigital Health - University of LiverpoolSAVSNET collects clinical notes and questionnaire data from UK veterinary practices alongside results from the UK’s larger veterinary laboratories.This data is analysed to help monitor disease trends, identify at risk animal populations, provide data to academics, improve public awareness of small animal diseases, and provide a route to clinical benchmarking. In this project, the RSEs helped to manage the software and server architecture required for data collection and added a data dashboard to make it easier to analyse the results.
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Mark Turner and Stephen DowslandDigital Humanities - Newcastle UniversityCaring for prehistoric rock art can be incredibly challenging, as the rocks are often in remote places.In this project, RSEs developed a mobile app that enabled the general public and specialists to provide photographs and condition reports about the rocks. These reports could then be used by those responsible for caring for the rocks to ensure their conservation and preservation.
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Susan Fitzmaurice and Seth MellDigital Humanities - University of SheffieldProfessor Susan Fitzmaurice and Dr. Seth Mell's project is called 'The Linguistic DNA'. It has analysed more than 1 billion words from 60,000 printed English documents from the 16th and 17th centuries in the search for patterns of words and meaning.In this project, the RSEs developed a bespoke computational linguistics tool to perform computational tasks; something that was impossible to achieve with existing software.
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Ed Ruck-KeeneDurham UniversitySince the summer of 2017, Advanced Research Computing at Durham University has been working to create a central research software engineering team to support researchers across the institution.In this case study, Ed Ruck-Keene talks about the process of undertaking this work and introduces the RSEs who are already part of the team.
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Mark RichardsonUniversity of LeedsIn this case study, Mark Richardson talks about his work at CEMAC, the Centre for Environmental Modelling and Computation.Mark and his team of software scientists work with academics to improve and add capabilities to research groups across the University of Leeds.
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