Traceable science using metadata from syntheses and characterisation
HMC FAIR Friday
Speaker: Brian R. Pauw, Bundesanstalt für Materialforschung und -prüfung (BAM)
Title: A place for everything: Traceable science using metadata from syntheses and characterisation
Date: Friday, 9 May 2025, 10 am
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.
About the speaker: Brian Pauw is a full-stack X-ray scattering expert with over 15 years of experience in materials science. After earning a Ph.D. in Chemical Engineering from the Technical University of Denmark in 2009, Brian advanced scattering techniques at Japan’s National Institute for Materials Science before joining BAM (Federal Institute for Materials Research and Testing) in Germany as a permanent researcher.
At BAM, Brian focuses on small-angle scattering of polymers, metals, catalysts, and more – developing precise methodologies for data collection, correction, and analysis. They also lead efforts in laboratory automation, including robotic systems for reproducible sample preparation, aiming to enhance the efficiency and reliability of experimental workflows.
Registration open until 9 May 2025, 09:45 am: https://events.hifis.net/event/2349
(For organizational reasons, we cannot guarantee participation for registrations after 09:45 am)
The Helmholtz Metadata Collaboration (HMC) invites you to engage in an exciting series of talks on FAIR Data through the HMC FAIR Friday lecture series. Renowned experts from around the world will present key aspects of FAIR data, offering deep dives into the topic and sparking discussions on best practices and new perspectives. HMC FAIR Friday is aimed at professionals in research data management as well as researchers from all disciplines of the Helmholtz Association and beyond, who want to learn more about the importance and implementation of FAIR principles.
