Enabling a consistent and unobstructed standardization of research data will lead to substantial improvements in efficiency and synergies/collaboration among individual researchers and well-designed IT systems. In the era of digital infrastructures, this measure holds paramount importance in shaping the future of research. For the data to be sustainable and reusable, it must adhere to the “FAIR Data Principles”, meaning it should be “Findable, Accessible, Interoperable, and Re-usable”. The FAIR principles will be a cornerstone of the European Open Science Cloud (EOSC) implementation. Nowadays, Data Management Plans (DMPs) have become a requirement for project applications in Horizon Europe and are increasingly being demanded by various funding organizations, including the German Science Foundation (DFG), among others. The scientific consortium NFDI-MatWerk (National Research Data Infrastructure) focuses on the research area Materials Science & Materials Engineering (MSE). The central challenge is the digital representation of materials and their relevant process and load parameters. NFDI-MatWerk will provide in this summer school tailored information and solutions for dealing with research data in MSE.

Who can apply? PhD-students and Post-Docs working in experimental and/or modeling/simulation in any field of materials science and engineering (with or without experience in RDM). Advanced Master Students are also welcome to apply.

Registration deadline: March 15, 2025

Please keep in mind that the number of participants is limited. Therefore, the “First Come-First Served” principle will be applied. Those who register first will have priority to obtain a place in the spring school.

The participation is free of charge. The event will take place in English.

You can find more information abput the event on the official webpage: https://www.eusmat.net/research/other-events/nfdi-matwerk-spring-school-2025/

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