Research Data Management
- Tracking and organization of complex research scenarios
- Sample tracking across all preparation steps, investigations, and linking to devices used
- Collecting metadata in one place
- Producing FAIR data
- Developed templates as blueprints and basis for a modular system
- Towards schemata for consistent description of metadata à comparable information, easy search
- Breakdown of complex tasks into “simple” units à construction kit for all experimental descriptions
- Defined access rights to data and metadata
- Extendable to other techniques / technologies (synthesis / materials characterization / sample analysis)
- We use
, a generic and open-source virtual research environment.

Exemplary overview of possible general process steps

Details and further work are published at:
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S. Schlabach, J. Wild, O. Petkau, M. Selzer and D. V. Szabó: „Using ELN Functionality of Kadi4Mat (KadiWeb) in a Materials Science Case Study of a User Facility”, Data Science Journal 2024, Vol. 19, Issue 50, Pages 1-16. https://doi.org./10.5334/dsj-2024-050
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M. Jalali, M. Mail, R. Aversa and C. Kübel: „MSLE: An Ontology for Materials Science Laboratory Equipment – Large-Sale Devices for Materials Characterization“, Materials Today Communications 2023, Vol. 35, Pages 105532. https://doi.org/10.1016/j.mtcomm.2023.105532
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R. Joseph, A. Chauhan, C. Eschke, A. Z. Ihsan, M. Jalali, U. Jäntsch, N. Jung, C. N. Shyam Kumar, C. Kübel, C. Lucas, M. Mail, A. Mazilkin, C. Neidiger, M. Panighel, S. Sandfeld, R. Stotzka, R. Thelen, R. Aversa: „Metadata Schema to Support FAIR Data in Scanning Electron Microscopy”, Supplementary 23rd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2021 Moscow (virtual) 2021, Pages 265-277. https://doi.org/10.5445/IR/1000141604
