The mechanical properties determined using various testing methods (e.g., tensile and fatigue testing, cyclic and static indentation), microstructural features (e.g., grain size, phase content), and physical properties (e.g., electrical conductivity, magnetic permeability) offer significant potential for exploring correlations in materials datasets. Data visualization and analysis are essential to uncover these correlations.
A major challenge in leveraging this potential is the lack of accessible, low-threshold concepts for research data management strategies based on Electronic Laboratory Notebooks (ELNs) (in collaboration with TA-WLE), as well as the application of appropriate metadata schemas based on established ontologies (in collaboration with TA-SAI).
IUC08 addresses these challenges by developing best-practice concepts to support the transition from traditional paper-based lab notebooks to ELNs.
| Main requirements: - Uniform (Meta)data formats to enable utilization of heterogeneous data obtained from different test devices - Metadata scheme to ensure comparable information for different test methods - Standardized units to facilitate data transformation - Electronic lab book for uniform data documentation and management - Integration of measurement devices to simplify utilization of different test devices - Visualization tools for interactive correlation analysis |
| Main Task Area: TA-WLE Other related Task Areas: TA-CI, TA-SAI |
| Possible connections within NFDI: FAIRmat |
| Material/Data: - Microstructure of metallic alloys - Mechanical and physical properties of metallic alloys - Metadata (material history and testing methods) of metallic alloys |
| Main Success Scenario: Broad implementation of fully digital, FAIR data handling in daily lab work using ELNs, associated, e.g., Python-based evaluation / visualization tools and appropriate data schemas. |
| Added value for the MatWerk community: Fostering low-level-entry concepts for digitization of lab work on a “low entry level” |
NFDI-MatWerk
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 38/1 – project number 460247524.
NFDI-MatWerk
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 38/1 – project number 460247524.
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