Data flow from instrument to publication; an X-ray experimentalist view on data generation, processing and analysis
Year: 2024
Type: conference-paper
Abstract: This poster motivates and depicts the work path towards a FAIR data collection and processing at large scale X-ray infrastructure, especially for the X-ray reflectivity use case. The envisioned procedure is, the experimental data and meta data is collected by means of human input and automatic aggregation during the experiment. The (meta) data is stored in an open and standardized format and the meta data is made publicly available in a meta data catalogue. The sample related information is conserved in a sample registry and uniquely indentifiable by a PID, e.g. IGSN. During the experiment an automatic, machine learning based analysis is indentifying experimental and data quality related issues and reports these back to the human experimenters.
Authors: Hayen, Nicolas, Hövelmann, Svenja Carolin, Murphy, Bridget Mary, Petersdorf, Lukas, Kobus, Julia, Jordt, Philipp
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6891607150
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