Expert views on data literacy and alternative forms of data visualisation

“The trick is to create a balance between the bigger picture storyline, and nuances in the data using specific points or quotes”.

“Interviewee’s, when you’ve done your job properly, are the experts of their own data. It takes much less time explaining the data to them, than to researchers who are unfamiliar with the data”.

“A big thing I have learned from data visualisation is that it is about storytelling, not only about what is, but how we perceive it. Especially for dynamic elements a common metaphor from outside can be very useful”.

"As consultant, build up confidence to ask questions when receiving the data. You could, for instance, plan a meeting in which the client explains their own data as a platform for discussion."
Erwin Hoogerwoord.

"Reduce the amount of information to the core insights, which should be honest and correct. The core data should add to the goal of the project, to help you further in some way. Lastly, make sure the data visualisation adds to the readability of the image, rather than increasing clutter."

"We have a huge responsibility in correctly showing information. This is a big discussion topic currently. It is important that even when the data is lacking, your interpretation doesn't make it worse"
Peter Lovei

"Make sure it is presented, don’t let data or interpretation fill possible gaps. Present what is unknown, to show what is yet missing”.
Jacky Bourgeois

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