Analyse & Compute
This section gives an overview of the computing and analysis environments available at the University of Groningen (UG) to support your research.
Whether you need a standard workplace, a secure virtual environment, or large-scale computing power, these pages explain what is available, how to access it, and when to use which option.
You will find information about:
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Standard UG Workspaces: Windows and Linux-based work environments managed by the UG, including available software, how to request new applications, and the difference between centrally managed and user-managed systems.
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Virtual Research Workspace: A secure, virtual Windows environment designed for collaborative work with sensitive data, isolated from the internet and local storage.
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High Performance Computing: The Hábrók cluster for simulations, modelling, and other compute-intensive research that requires more power than a regular workstation can provide.
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Specialised Services: Expert teams such as Data Science, Geo services, and Visualization who can assist with advanced analysis, data handling, and custom solutions.
These facilities allow you to analyse, model, visualise, and compute data efficiently and safely, from small-scale local tasks to complex, high-performance workflows.
Best analysis & computing practices for data and software management
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Transfer your data to a shared environment before leaving the university |
This is especially important for temporary staff such as PhD candidates, postdoctoral researchers, bachelor's students conducting research, and master's students. If you do not share your research data with a supervisor or another designated data manager in your research group or institute, your data will become inaccessible and unmanaged after you leave. |
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Keep your research software in a version control system |
Keep your research software in a version control system such as Git or GitHub. This ensures that your code is backed up, versioned, and accessible to collaborators.
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Avoid storing research data in analytical systems, temporary working environments, or on devices for personal use |
After completing your analysis or data collection, move the data to an environment with a backup facility. Analytical systems are not designed to guarantee the long-term retention and integrity of your data.
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Always copy the data to a trusted, secure, and accessible location after concluding the analysis of (personal) data |
Copying your research data to a trusted, secure, and accessible location after concluding its analysis will allow you to manage it effectively and keep track of different versions over time |
| Last modified: | 27 August 2025 12.33 p.m. |