Enhancing User Experience with Multi-Platform Client for REANA Containerised Data Analyses

REANA is a reusable and reproducible research data analysis platform which allows researchers to structure their input data, containerised environments and computational workflows so that the analysis can be ran on remote compute clouds, aiming at preservation and reproducibility. The goal of the present work is to enhance the user experience for REANA containerised data analyses and create a multi-platform client, by taking the current client powered by Python, which contains some issues and limitations, and rewriting it in the GO language. Besides the support across multiple platforms, it’s also possible to improve its performance and build a solid foundation for future steps and features.