Resources and materials for the training sessions as part of the EOSC CZ Summer School for Data Stewards 2026
Rendered notebooks and materials can be viewed as Jupyter Book at: https://scads.github.io/eosc-ssds-2026/
Introducing data stewards to JupyterLab as a potential workbench for practical, reproducible workflows supporting a range of tasks (e.g. data intake and exploration, documentation, and DMP drafting), with an integrated AI assistant.
Providing a practical, Python-based toolkit for data stewards to turn incoming project data into a validated, well-documented, and handover- or deposit-ready package, using JupyterLab as the execution and reporting environment.