Scientific research has been subject to the fast-progressing digitalization, which impacts how research is conducted today. Generation and sharing of data according to best practices, that support the digital change, bears numerous challenges for the scientists: Implementation of data documentation recommendations like the FAIR Principles [1] require profound knowledge and technical skills and...
Interoperability is an ongoing challenge given the diverse nature of research and the tools and services researchers use. Addressing interoperability challenges and FAIRification of research at scale is therefore only possible with solid knowledge about the tools and services used in each stage of the research cycle and a forward-facing vision of how they might work together.
For the...
The "Reusability of Scientific Data" course is designed to equip researchers with the knowledge and practical skills necessary to ensure their data adheres to the principles of FAIR (Findable, Accessible, Interoperable, Reusable), with a specific focus on reusability. This 4-hour online course provides a detailed exploration of the critical role that data reusability plays in enhancing the...
