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.
Featured Image
Photo by Terry Vlisidis on Unsplash
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.
Perspectives
If the scientific community adopted common standards for sharing visualization experiences, and these were supported broadly (eg by journals, websites etc.), this would lead to a significant leap forward in making complex research findings more accessible.
Dr Marc Baaden
CNRS
Read the Original
This page is a summary of: UnityMol prototype for FAIR sharing of molecular-visualization experiences: from pictures in the cloud to collaborative virtual reality exploration in immersive 3D environments, Acta Crystallographica Section D Structural Biology, May 2021, International Union of Crystallography,
DOI: 10.1107/s2059798321002941.
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Resources
FAIR sharing of molecular visualization experiences by Marc Baaden @MASIM SARS Cov2 event (Nov 2020)
Presentation delivered by Marc Baaden (PhD, Senior Scientist@IBPC CNRS, Paris, France) during a series of talks organized in Nov 2020 by the French MASIM research group, dedicated to the structural bioinformatics aspects of SARS-CoV-2 research. "FAIR sharing of molecular visualization experiences : COVID-19 use case" Abstract: Visualization renders structural molecular data accessible to a broad audience. We describe an approach to share molecular visualization experiences based on FAIR principles. Our workflow is exemplified with recent Covid-19 related data. URL/DOI:10.1101/2020.08.27.270 MASIM is a research group within the French CNRS research network for bioinformatics (GdR BIM). Its goal is to promote collaborations and the dissemination of algorithmic methods for structural bioinformatics through an interdisciplinary dialogue involving, but not limited to, Biologists, Computer scientists, Chemists, Mathematicians and Physicists.
Github repository
A collection of data, scripts, and media for FAIR sharing of molecular visualization experiences, focused on COVID-19 molecular structures, using UnityMol.
Contributors
The following have contributed to this page
