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Ideas on broadly sharing scientific visualization experiences

What is it about?

Visualization is essential in the scientific discovery cycle and increasingly cross-disciplinary. It allows presenting complex data in a way that makes it more accessible. Here we use in particular three-dimensional structural molecular data related to the Covid19 pandemic as use case for sharing a variety of levels of immersion to audiences from different backgrounds, scientific and non-scientific. FAIR standards are taken into account.

Why is it important?

We provide examples on how key scientific data can be made more widely accessible making data visualization experiences findable, accessible, interoperable and reproducible.

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The following have contributed to this page:
Marc Baaden
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