63373 2025 eng lecture 0 -- -- -- In our laboratory, we rely heavily on automation for synthesis and measurement. Done right, automation can deliver reliable quantities of excruciatingly detailed data, produced in a reproducible and traceable way. This data then needs sorting and organising, and a good structure of metadata is a good start to long-lasting data. This metadata collection is an essential part of our “holistic experimentation”-approach. In this approach, we try to ensure that all aspects of the experimental chain are performed to a high standard, so that experimental integrity is maintained. In other words: as a failure in one of the components of the chain can make an entire experiment worthless, we must ensure each component is done (and documented) well. In this talk, we show how we 1) synthesise well-documented sample series, 2) apply a complete end-to-end X-ray scattering characterisation methodology to those samples, and 3) can link the data from the synthesis to the structural details obtained from the scattering experiments in a visual dashboard. Furthermore, we will show examples on how data can be organised in hierarchical structures in HDF5-based datafiles, and how this helps move towards more trustworthy, traceable science. Future Labs Live 2025 Basel, Switzerland 27.05.2025 28.05.2025 1 publish false true Brian Richard Pauw eng uncontrolled Lab automation eng uncontrolled Holistic experiments eng uncontrolled Synthesis eng uncontrolled Traceability eng uncontrolled Data stewardship Ingenieurwissenschaften und zugeordnete Tätigkeiten 6 Materialchemie 6.5 Synthese und Streuverfahren nanostrukturierter Materialien Material Datei im Netzwerk der BAM verfügbar ("Closed Access") Präsentation Advanced Materials