Reproducibility is an important aspect of research. One particular concept of interest is FAIR principles. FAIR stands for Findable, Accessible, Interoperable and Reusable and defines a ‘best practices’ approach for research.

However, complying with such a concept presents its own unique challenges: Some research tools rely on complex infrastructure elements and software stacks that are hard to replicate. In cases such as these, the added workload acts as an inhibitor on ensuring reproducibility. The result is that many experiments, data pipelines and results are hard to replicate. According to our preliminary insights, based on interviews within the ZHAW, on how experiments are conducted, such complexity is indeed commonplace in our current research activities. 

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