Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
Khalil Rejiba, Sang-Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte-Kerzel, Ulrich Kerzel

TL;DR
This paper presents an integrated research data management system that streamlines data collection, metadata extraction, and analysis workflows to facilitate the construction of defect phase diagrams from heterogeneous experimental and simulation data.
Contribution
It introduces a comprehensive RDM infrastructure combining openBIS with new tools for automated metadata extraction and federated data access, enhancing data reproducibility and reuse.
Findings
Enables seamless integration of diverse research data sources.
Automates metadata extraction from proprietary formats.
Accelerates defect phase diagram construction across institutions.
Abstract
Defect phase diagrams provide a unified description of crystal defect states for materials design and are central to the scientific objectives of the Collaborative Research Centre (CRC) 1394. Their construction requires the systematic integration of heterogeneous experimental and simulation data across research groups and locations. In this setting, research data management (RDM) is a key enabler of new scientific insight by linking distributed research activities and making complex data reproducible and reusable. To address the challenge of heterogeneous data sources and formats, a comprehensive RDM infrastructure has been established that links experiment, data, and analysis in a seamless workflow. The system combines: (1) a joint electronic laboratory notebook and laboratory information management system, (2) easy-to-use large-object data storage, (3) automatic metadata extraction…
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Taxonomy
TopicsMachine Learning in Materials Science · Scientific Computing and Data Management · Advanced Electron Microscopy Techniques and Applications
