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NFDI-MatWerk – National Research Data Infrastructure for MSE

We support researchers in Materials Science and Engineering (MSE) with FAIR data solutions that enable new discovery.

We envision research data management (RDM) that supports every stage of a project, strengthens collaboration through easier data exchange, and integrates materials data from different techniques, including experiments and simulations.

We invite researchers with all levels of RDM knowledge to engage with an ecosystem of adaptable workflows, services, tools, and guidance that support daily laboratory and simulation work.

Laboratory Equipment

Materials Development & Characterization

Management of experimental data

Data Visualization

Materials Simulation & Data Science

Management of simulation data and knowledge

Microscopy

Materials Processing & Testing

Management of experimental data

Collaborative Research

Solutions

Management of research data

FAIR Data Workflow

Education

Learning & empowerment formats for the MSE community

AHoD 2026 in Siegburg: NFDI-MatWerk Reviewed Progress and Set Priorities for the Next Steps

At the All-Hands-on-Deck 2026 meeting in Siegburg, the NFDI-MatWerk community discussed the current status of the Task Areas, presented demonstrators and posters, and worked on strategic topics including dissemination, architecture, data quality, AI readiness, and knowledge graph development.

From 10 to 12 March 2026, the NFDI-MatWerk community met in Siegburg for the annual All-Hands-on-Deck project meeting. The event brought together contributors from across the initiative to review progress, connect activities across Task Areas, and define priorities for the next phase of work. 

The program combined project updates, technical presentations, demonstrators, posters, and interactive workshop formats. A central focus was the presentation of demonstrators of our research data management solutions, which showed how they are being developed and applied in materials science and engineering. Topics ranged from teaching frameworks, reference datasets, ontology development, and sample description to interoperable workflows, automated metadata extraction, and queryable materials knowledge from legacy literature. 

The demonstrator and poster marketplace provided space for direct exchange on practical solutions and ongoing developments. On the first day, the Best Demonstrator Prize was awarded to Dr. Niklas Siemer (MPI SusMat; streamlining data upload to openBIS with automatic metadata extraction), Ebrahim Nourouzi (FIZ Karlsruhe; MSE Knowledge Graph), and Yousef Rezek (Ruhr Universität Bochum; modular data schema for FAIR digital objects of microstructure-evolution and mechanical properties). Their contributions reflected the strong implementation focus of the meeting and highlighted how concrete tools and concepts are being advanced within the consortium. 

The second day concentrated on strategic collaboration. Workshops addressed dissemination activities, international perspectives, architectural development, and proposal-related topics such as data quality, AI readiness, and key performance indicators. These sessions helped identify interfaces between projects, clarify shared needs, and define next steps for coordinated development. 

AHoD 2026 showed once again that NFDI-MatWerk is shaped by close exchange between infrastructure development, community needs, and scientific application. The meeting in Siegburg offered a clear picture of current progress and created momentum for the MSE community work ahead. 

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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