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Digital Competence Centre

your one-stop for research IT and data
IT Solutions

Data Analysis & Visualisation

The DCC incorporates the research support services of both the University Library (UB) and the Centre for Information Technology (CIT) as “second-line” teams. For specific technical questions about aspects of data science (automation) and processing and visualising geospatial or 3D data we have close ties to data experts at the CIT. For computing power we can find an answer to your questions for you with the HPC team.

High Performance Computing

To perform large complex calculations, the university has its own high performance computing (HPC) cluster called Peregrine. The 5740 CPU cores and 220000 CUDA cores cluster is available for general use by University of Groningen scientists and is eminently suited to solve computing problems for which a single computer is not powerful enough.

High-throughput computing (HTC)

The CIT is currently developing a local cloud solution focused on HPC and HTC solutions (Merlin). This enables the CIT to provide an IAAS environment designed for high-throughput and computing solutions.

HPC software

Software is typically built for specific operating systems. This can limit the performance on the HPC clusters. If the source code is available, we provide help to optimize software for the HPC clusters.

HPC courses and training

We regularly organize beginner and advanced courses. The CIT academy course overview provides more information about all training courses.

More information on HPC

Data Science

The CIT Data Science team can help you to collect, analyze, process, visualize and manage all types of research data. This includes (geo, visual) sensors, audio and medical data. Some examples of possibilities:

Data collection and Data scraping

Scraping web data, setting up data collection tools for online surveys and information about existing data resources.

Processing imagery (photos and videos) and Computer vision

Detecting (abnormal) objects in images, scans and video, predicting object types, automate the processing, super-resolution images.

Text Mining and Natural Language Processing

Find structures or hidden information in your collection of books, articles, emails, jurisprudence, Twitter comments or other corpora. AI and natural language processing techniques.

Exploring tabular data/statistics/time series analysis

Analyze, explore and predict tabular data from spreadsheets, csv files or complicated data like genetic, historical or time series data. Advanced statistical techniques and machine learning models.

Machine Learning/Deep Learning

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Deep learning is a subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data.

More information on Data Science

Geographical data analysis and visualisation

Much research has a spatial component. Research always happens somewhere or compares different phenomena at different locations. The Geodienst (geographic service), a team of specialists in spatial data, provides various services in the field of geodata. These include collecting, storing, sharing, analysing and visualizing data. The specialists also provide training for different geographic information systems (GIS) and are available for advice.

Spatial analyses

Powerful tools such as GIS, ArcGIS Online, ArcMap, ArcGIS Pro, Story Maps, and Insights allow you to create both vector and grid-based spatial analyses, such as network analysis, viewshed analysis or spatial interpolation. Visualizing the results of these types of analyses usually results in a map and helps to interpret the results of your analysis.

Advice and contact

Ask Research Support for all your questions about geographic data.

More information on the Geodienst

Virtual/augmented reality and 3D data

CIT’s visualization specialists focus on visualizing data and creating interactive xR environments (virtual and augmented reality) and (custom) applications for interacting with xR/3D data. They also provide facilities and equipment for interacting with xR and 3D data, such as a 3D theatre and a VR lab.

Reality Theatre

The Reality Theatre at the Smitsborg at Zernike is a cinema that can accommodate up to 20 people for interactive 3D presentations. The room has a multi-touchscreen and the layout for the public is flexible. The Reality Theatre can be used for a wide range of scientific areas.

VR Lab (3D recordings and 3D printing)

In the Reality Center laboratory, you can experiment with VR/3D equipment. In addition to VR head-mounted displays and augmented reality interfaces, the VR lab has several devices for scanning objects in 3D and the ability to visualize or print them digitally. The lab also has a set-up for photographic 3D (photogrammetry) shooting.

VR equipment on loan

Do you need a VR device for your research project or an educational setting? You can borrow VR equipment, including a powerful laptop from the Reality Center (pick up and return at the Smitsborg).

Software development

Do you have a project for which no VR software exists so far? We can help you develop new software for your project or customize existing software. For example, you can customize popular software for visualizing molecular structures such as PyMol and VMD for use in our Reality Theatre.

More information

Check out the video showreel of the visualization experts if you want to learn more about the possibilities of using 3D visualization and Virtual Reality in your research or education. This gives a good impression of the possibilities. Visit this webpage for more information on visualisation.

Last modified:21 April 2022 12.38 p.m.