Speakers
Description
In the training course "Reusability of Scientific Data," we focus on the 'R' in the FAIR Principles. This course was developed in collaboration with the Helmholtz Artificial Intelligence team and is specifically tailored to the Research Field Matter.
By the end of the course, participants will have a comprehensive understanding of the importance and necessity of making data reusable, a key aspect of the FAIR principles. While the course is open to everyone, it is particularly aimed at newly hired postdocs and PhD students in the Research Field Matter who are at the beginning of their research. For these researchers, it is crucial to learn how to apply data reusability methods in the early stages of their projects. They will also gain hands-on experience in selected steps necessary for making research data reusable by others.
Participants will understand the significance of the FAIR principles, particularly the reusability of data within the Research Field Matter and the AI field. Additionally, the course will feature a lightning talk on data reusability in the Research Field Matter.
