Visualization has many important tasks and is often used for example for exploration and analysis of data in computational biology. In this field of research, many experiments are conducted multiple times, sometimes experiments are repeated years later. The software for analyzing the data derived from these experiments must therefore meet high quality standards, so that the results of experiments are reproducible. Therefore, the FAIR principles are often applied to the software used in this field. In my talk I want to share my experiences on the implementation of the FAIR principle for visualization software in the field of computational biology. These are to a large extent also transferable to general visualization software.

Invited lightning talk at the FairVis workshop organized as part of EuroVis23.


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