In this session, we will discuss the diverse collaboration strategies employed by FAIRmat, highlighting our engagement with individual researchers, research initiatives, the NFDI, and large-scale European projects. We will discuss how FAIRmat supports proposals driven by individual Principal Investigators (PIs) and fosters synergy with Collaborative Research Centers (CRCs). Additionally, we...
Electronic Laboratory Notebooks (ELNs) are vital for digitalizing Research Data Management (RDM) by acquiring data with comprehensive metadata. However, their acceptance and implementation face challenges, especially in labs where ease of use is crucial. Balancing user-friendliness with generating FAIR (Findable, Accessible, Interoperable, and Reusable) data is a significant issue. NOMAD is a...
Data modeling is a pivotal topic for FAIRmat as is it the basis of all FAIR data. In this session, we will discuss the latest improvements to our schema language NOMAD Metainfo and how we can further develop it. While this session is not necessarily about specific data models, we can still cover the role of schema plugins and base sections. Another topic is our sections results and how to...
In a data-driven world, data literacy and research data management (RDM) are essential skills that students in physics should acquire early in their studies. However, integrating these topics into the curricula of universities in dedicated courses with their own credit hours is challenging. Adapting existing courses in the physics curriculum to include the teaching of research data management...