At the Open Science Conference in Hamburg, Sonja Schimmler delivered a keynote titled Data Infrastructures and Data Competencies as a Foundation for AI Projects.
This presentation examined the critical components that drive AI progress, with a focus on the need for large-scale, machine-interpretable data that adapts to the unique demands of different sectors. Key topics included transparency and reproducibility in AI projects, as well as the importance of making essential resources, publications, data, models, and code, available and interconnected.
Robust data infrastructures and profound data competencies are important for the AI community, supporting every stage of the data lifecycle, from collection and creation to processing, analysis, publishing, archiving, and reuse of resources. The talk highlighted the foundational role of infrastructures and competencies in AI-driven initiatives, and showcased several ongoing initiatives and illustrated how they contribute to a modern research environment.