(2) a lack of flexible workflows or tool chains. Material science research routinely combines different characterization methods, but rarely so in a digitally integrated way. Researchers have their individual ways to document a material's synthesis and processing history, how each experiment's specimen was prepared, and how data was post-processed. Common approaches (via file name, free-form notes, folders, …) are ill-suited for automatic processing. Electronic lab-book systems help to manage those data , but typically reach their limits in collaborations across labs.