his course provides a basic overview about data science applications. To produce reliable data science results a profound knowledge about the data analyses methods, data management techniques and innovative technologies is required. Additionally, to assess these results and approaches an awareness of their ethical, legal, and social implications is demanded (all topics are addressed in the following courses and operator tracks).

During the webinar, we will discuss pathways to incentivize open data publishing through innovative metrics, addressing the urgent need for more effective policies, and examining resource disparities across regions. Attendees will gain a deeper understanding of the importance of tailored support for different disciplines and the necessity of practical resources and training to drive meaningful change in the open data landscape. This is an opportunity to engage with experts and contribute to shaping a more equitable and efficient future for open research.