Turning research data into powerful visuals

Cluster

Communication skills

Target group

Members of the Doctoral Schools

Aim

The learning objectives for this course are as follows:

1. Identifying a relevant message in a (research related) dataset.
2. Adapting and optimising this message for visual communication to a specific target group.
3. Designing graphics that meet specific challenges within scientific research: representing uncertainty, conveying objectivity.
4. Designing graphics that fit the specific form of scientific communication: oral and poster presentations, scientific articles, popular scientific articles, blogs and social media posts, doctoral thesis.
5. Knowledge of the different basic types of graphs (bar chart, line chart, pie chart and scatter diagram) and when to use them or not.
6. Knowledge of some lesser known chart types, and be able to evaluate when to use or not to use them for a specific dataset.
7. Being able to format tables clearly and attractively.
8. Knowledge of the workflow and techniques for preparing a dataset for visualization, and for converting it to a graph.
9. Being able to add elements to make a graph as clear and effective as possible: use of colours, icons, data labels and legends.
10. Formulating an appropriate title and caption to support the message of the graphic.
11. Knowledge about the possibilities of making a graphic interactive, and which tools can be used for this.

Programme

By the end of this workshop you will have covered 4 themes:

1. An introduction to data visualization

2. Graphical representation of data

3. Design and production of data visualization

4. Visualization of scientific research

  • Day 1: Graphical representation of data

•    Part I: An introduction to data visualization (theme 1)
•    Part II: Graphical representation of data (theme 2)

  • Day 2: Designing and creating graphs

•    Part III: Producing and designing data visuals (theme 3)

  • Day 3: Group discussion and case studies

•    Part IV: Visualizing your research (theme 4)

Time schedule & Venue

Course code Dates  2021-2022 (1 course = 3 x 1 day)
Time Format
DV-2122-01

03+10+17/02/2022

09:00 - 17:00

ON CAMPUS

Registration fee

Free of charge for members of the Doctoral Schools. The no show policy applies: no-show policy UGent

Registration procedure

Use the following registration link: https://eventmanager.ugent.be/Creatingvisuals

If the course is fully booked, please send an email to doctoralschools@ugent.be and ask to be added to the waiting list by mentioning your student number and the course code of your choice. Cancellation of your registration can only performed by sending an e-mail to

Please read the cancellation policy: cancellationpolicycourses

Level

All PhD students; no previous knowledge required

Teacher

Koen Van den Eeckhout (Baryon design)

Teaching and learning material

Booklet

Teaching methods

Interactive workshop

Number of participants

16

Language

English

Evaluation methods and criteria (doctoral training programme)

100% active participation & home assignment (4 to 8 hours)