NFDI-MatWerk Structure
Task Areas
Task Area Community Interaction (TA-CI)
About NFDI-MatWerk

Task Area Community Interaction

The Task Area Community Interaction (TA-CI) is the central hub for engaging the interdisciplinary MSE community. Its goal is to build broad acceptance of NFDI-MatWerk and involve researchers across all career stages and domains. TA-CI emphasizes that NFDI-MatWerk is not just data collection but a framework for knowledge creation through FAIR, high-quality data practices. It supports stakeholders with onboarding, identifies needs, connects them to infrastructure use cases, fosters dialogue on new developments, and promotes integration into the wider NFDI and oneNFDI ecosystem.

Goals

  • Foster broad community participation
    Serve as the first point of contact for researchers and institutions not yet involved in NFDI-MatWerk and support their integration into the initiative.
  • Communicate needs and use cases
    Identify the development stage and requirements of new stakeholders and relay this information to the relevant Task Areas to ensure targeted support.
  • Guide onboarding and infrastructure adoption
    Support researchers in selecting appropriate infrastructure components and use cases, and initiate discussions for new developments when needed.
  • Promote FAIR data practices
    Provide guidance on data preparation, handling, and quality to align with NFDI-MatWerk standards and ensure compliance with the FAIR principles.
  • Support roll-out and outreach
    Contribute to the roll-out of NFDI-MatWerk solutions through active engagement, events, and tailored community formats.
  • Integrate NFDI into education
    Promote dialogue on how research data management and NFDI concepts can be incorporated into university curricula and training programs.
  • Engage in cross-consortia collaboration
    Maintain active exchange with other NFDI consortia to contribute to the oneNFDI vision and ensure interoperability and consistency across disciplines.

All Task Areas

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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