First topical MecaNano workshop of Research Data Management

Research Data Management (RDM) addresses crucial cornerstones of modern research. On one hand, ever increasing complexity in our experiments mean that we need to improve the way we track our experimental samples, the experiments we conduct and the machines and tools we use at each step. The resulting data needs to be organised such that we can adhere to FAIR data principles and best practices. On the other hand, many modern analysis techniques, from statistical modelling to machine learning, require data as input and machine learning in particular typically requires large amount of data. RDM helps us to lay the foundation, so that we easily find relevant data, and use them in the next step of the analysis. In this first topical workshop, we want to lay the foundation to use reseach data management tools and best practices to enable the next generation of experiments and analysis. We will exchange ideas, discuss use-cases, hear from groups and experts about their experiences, as well as external speakers on RDM related topics.