Join the next HMC FAIR Friday seminar on "A place for everything: traceable science using metadata from syntheses and characterisation"
with Brian R. Pauw from Bundesanstalt für Materialforschung und -prüfung (BAM)!
Time: 9th May 2025 at 10:00 - 11:00 am CEST
Registration: https://events.hifis.net/event/2349/
Venue: Zoom
Abstract:
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.
Join the upcoming FAIR Friday Online Seminar on "FAIR research data management in composite engineering within the MEMAS project"
with Mathieu Vinot from Deutsche Zentrum für Luft- und Raumfahrt (DLR)!
Time: 6th June 2025 at 10:00 - 11:00 am CEST
Registration: https://events.hifis.net/event/2485/
Venue: Zoom
Abstract:
The management of data abroad various disciplines can be a very challenging task due to the variety of expert language and the heterogeneity of data and data formats. In this contribution, we present outcomes and technical solutions developed in the project MEMAS for the efficient and sustainable storage of data and metadata in robotics, manufacturing, testing and simulation of composite parts. Our work follows the FAIR principles by developing a multi-domain ontology that bridges the above-mentioned fields of engineering. Data interoperability and reusability is ensured by the use of the research data management system (RDMS) shepard to store heterogeneous research data. The development of json schemas allowed for the automatic generation of user interfaces, which are used to enrich data sets and store reusable instances of ontology classes, for instance for testing instruments, machines or test standards.
In a second phase, we focused our work on the generation of automatic parsing tools to extract metadata from research files. Structuring tools allowed for the conversion of human-readable files into machine readable data objects, in particular json or timeseries, for structured storage in RDMS. The heterogeneous data and metadata stored within the RDMS are systematically structured, ensuring findability and semantic coherence. This developed approach and methods establishes a robust foundation for future advancements such as multi-objective optimisation and machine learning-driven insights.
In this FAIR seminar, we will describe the developed methods for the management of data and metadata in details. Particularly, we will address the difficulties encountered in the development process and discuss challenges related to the accessibility of FAIR processes in research.
Upcoming FAIR Friday lectures:
11.07.2025 (10-11 am CEST)
"From Data Creator to Data Reuser: Distances Matters", with Paul Groth (University of Amsterdam)
Register here: https://events.hifis.net/event/2486/