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Visualising data

Visualisation of biological data is a rapidly expanding multidisciplinary field. Here you'll find information and valuable resources that will hopefully aid you in creating your own visual content.

Image by Dr. Jan Krivanek, Igor Adameyko Lab

Visualisation
Visualisation
A viualised virus

Visualisation

An introduction to the basics of visualisation. The concept can include everything from exploratory diagnostics to explanatory popular science, but here we have chosen to focus on the communicative aspects of research data visualisation.

Graphic principles

Graphic principles

A central tool in data visualisation is the mobilisation of human perceptual abilities in order to better understand a given data base. This is something that, in turn, is served by a certain basic understanding of human perception.

Colour
Colour
Colour wheel

Colour

Graphical abstracts

Graphical abstracts

Being able to create a visual summary of the key findings of an article is becoming more and more important. The summary is usually comprised of a single image designed to help the reader to quickly identify the relevance of the written material.

Accessible visualisation

Accessible visualisation

Visual scientific communication needs to be both accessible and have a clear and transparent connection to the underlying science.

Resources for visualisation

Resources for visualisation

There are many different resources for creating visualisations. Here we address some of these and their strengths.

Self-paced course on visualisation
Self-paced course on visualisation
Screenshot of Canvas startpage for the open course Visualise your data.

Self-paced course on visualisation

The University Library’s free, open online course on research data visualisation provides you with a basic introduction to the field. Through case studies and practical exercises, you will learn to graphically represent and communicate data in an effective and accessible way.