The Health Data Science Sandbox is a national project coordinated by the Center for Health Data Science at the University of Copenhagen. We're working with a network of health data science experts to build training resources on academic supercomputers for students and researchers in Denmark. Our Sandbox contains training modules that pair topical datasets with recommended analysis tools, pipelines, and learning materials/tutorials in a portable, containerized format.
The Sandbox aims to be a resource for learning new analysis approaches and tools for health data science on useful, interesting, and safe-to-share datasets. All person-specific datasets in the Sandbox are non-sensitive and GDPR-safe because they are 1) sourced from public databases, 2) fully anonymous/non-sensitive from a GDPR perspective, and/or 3) synthetic. To learn more, check out Datasets where we explain our data policy in detail and our approach to synthetic data generation.
Awards
- The National Helath Data Science Sandbox for Training and Research
- Novo Nordisk Foundation