DESCRIPTION
In a culture that is increasingly visual and vying for our attention, science communication through images that activate our visual thinking is gaining renewed importance. For this reason, the use of infographics and data visualisations (“dataviz”), which show a large amount of information and help us to detect patterns and trends quickly, as well as to establish relationships and connections for our scientific research, has become widespread. Finally, the different ways and platforms available to share research data appropriately will be explained.
STRUCTURE
Module 1 – Introduction to data visualisation (dataviz)
- The importance of visualisation in today’s culture.
- Brief history and evolution of dataviz.
- The relevance of visual thinking in science popularisation.
Module 2 – Basic principles and elements of infographics
- Key components of an effective infographic.
- How to structure and organise information in an infographic.
- Tools and techniques for designing attractive and understandable infographics.
Module 3 – Data visualisation tools and techniques
- Introduction to popular tools and software for dataviz.
- Creating interactive and static visualisations.
- Visualising large datasets and complexity reduction techniques.
Module 4 – Detecting patterns, trends and relationships in scientific data
- How to interpret visualisations to detect insights.
- Using dataviz to identify connections and relationships in scientific research.
- Transforming raw data into meaningful visual dashboards.
Module 5 – Sharing and distributing visualisations and research data
- Best practices for sharing visualisations and ensuring their integrity.
- Platforms and tools for distributing and promoting dataviz.
- Engagement and promotion strategies to maximise the visibility of research data.