Motivation

Tomographic data from different techniques (e.g. Atom Probe Tomography, FIB/EBSD serial sectioning) and related simulations need to be stored in the DME in accordance with the underlying ontology for materials tomography and with reference coordinate systems that allow for the fusion of the datasets. A particular challenge here is the large amount of data that needs to be integrated and accessed, testing the performance and scalability of the DME. 

Overview

Main requirements:
- Digital Materials Environment (DME) Backend (MDI)
- Materials Data Infrastructure Support (MDI)
- Connection of workflows and ontologies (WSD)
Main Task Area: TA-MDI
Other related Task Areas: TA-WSD, TA-Strategy
Possible connections within NFDI: NFDI4Ing, FAIRmat
Material/Data: (mainly) metallic materials/tomographic data and related simulations with focus on large datasets
Main Success Scenario: Large amounts of data from various, scale-bridging tomography methods of a given sample as well as simulations can be fused; specific volume elements can be accessed at different scales.
Added value for the MatWerk community: An exemplary implementation of a storage concept for large fused and linked datasets which is accessible through the DME and a web-based interface.

Goals

  • Integrate Large Tomographic Datasets: Develop a framework for storing and integrating large tomographic datasets and related simulations in the DME, ensuring they align with the materials tomography ontology and reference coordinate systems.
  • Test Scalability: Assess the performance and scalability of the DME in handling large-scale data integration and access.
  • Connect Workflows and Ontologies: Facilitate the connection between workflows and ontologies to support seamless data fusion and access across various scales.
  • Provide Accessible Storage Solutions: Implement storage solutions for large, fused, and linked datasets accessible through the DME and a web-based interface.

Related Participant Projects

All Infrastructure Use Cases

NFDI-MatWerk
Funded by the German Research Foundation (DFG) under the National Research Data Infrastructure – NFDI 38/1 – 460247524

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