The chemical process industry is in the process of transitioning to Chemistry 4.0, with its focus on digitalisation, modularisation, sustainability and the circular economy. One step towards Chemistry 4.0 is to optimise the production processes and resource management. This can be achieved by using machine learning (ML) to learn from experimental data and to gain more insight into production processes [1]. This means that it is also crucial to ensure accessibility to the data generated by modular production plants. Modular process automation increases the flexibility of production processes and the maintainability of production facilities. Modular plants in the process industry ...