Infrastructure Use Cases (IUCs) are exmplary scenarios used to demonstrate and validate the functionality of the NFDI-MatWerk infrastructure in real-world research contexts. They illustrate how the digital infrastructure can be applied to various stages of materials science research, including data acquisition, processing, sharing, and analysis. Developed in collaboration with the research community, IUCs provide detailed examples of how researchers can effectively use the infrastructure to enhance their workflows. By showcasing specific applications, IUCs highlight the capabilities and benefits of the infrastructure, guiding its development to meet actual research needs and ensuring that it aligns with the dynamic requirements of materials science and engineering.

• Demonstrate Practical Applications: Show how the NFDI-MatWerk infrastructure can be effectively used in specific research scenarios, providing clear examples of its application in managing and analyzing materials data. 
• Validate Infrastructure Functionality: Assess the performance and capabilities of the infrastructure in application conditions, identifying strengths and areas for improvement based on actual use.
• Guide Infrastructure Development: Provide feedback from user applications to inform iterative improvements of the infrastructure, ensuring it remains relevant and meets the evolving needs of the materials science community. 
• Enhance Community Engagement: Involve researchers in the development and refinement of the infrastructure, fostering a collaborative approach that integrates user input and addresses practical research challenges.
• Support Educational and Training Efforts: Serve as educational tools that illustrate best practices for using the infrastructure, helping researchers, students, and technical professionals understand and adopt the digital tools and workflows in their projects. 
• Promote Best Practices: Establish and disseminate best practices for data management and analysis, demonstrating effective strategies for using the infrastructure to achieve research goals. 
• Facilitate Data Sharing and Reuse: Encourage the sharing and reuse of data by demonstrating how the infrastructure supports efficient data integration and accessibility, aligned with FAIR principles (Findable, Accessible, Interoperable, Reusable).