Visualising data allows us to:
Including data visualisations in your collections has the potential to increase the reuse, discovery and connectivity of your research data.
(Source: Australian National Data Service website (www.ands.org.au).)
Beyond including visualisations in your data, you might also want to consider enhancing your publications with data visualisations. Elsevier (Scopus, Science Direct) describe it as 'enriching':
When publishing your research online, you are no longer confined to static visuals; you can explore a set of in-article interactive visualization tools that will help you share insights with your readers.
(Source: Elsevier website (https://www.elsevier.com/authors/author-services/research-data).)
You can also choose to publish (and receive recognition) for your individual visualisations on a platform such as Figshare. Click on this link to see examples of data visualisations published and shared by researchers internationally.
Data visualisation refers to the graphical display of information for for either data analysis or communication. The following is an online interactive course (provided by LinkedIn Learning), which encourages you to take your knowledge beyond how data can be graphically presented and think more strategically about the best way to appeal to your chosen audience. That is, using data visualisation tools to 'tell a story'.
(Source: Digital Curation Centre website 'Visualisation top tips' CC BY-NC-ND 2.0 UK)