JupyterLab + AI Assistant as Research Data Management Workbench

Research data rarely arrives clean: inconsistent formats, missing values and undocumented columns slow down analysis and make results hard to reproduce or share. In this one-day training (10:00–16:00), researchers get introduced to JupyterLab and Python with an integrated AI assistant and learn to use it as a reproducible workbench for data exploration and RDM tasks. Working with a realistic messy dataset, you will explore it, validate it against explicit rules, generate a quality report, clean it, and publish it as a documented FAIR data package with a draft Data Management Plan. Throughout, you let the AI draft according code and docs while you learn to read, run and critically check what it produces.

Requirements (Bring your own laptop):

• Basic Python programming knowledge;
• Confidence in using your own laptop, particularly the command prompt/terminal,
• the ability to install software on the laptop;

Location: Data Science Center ScaDS.AI – University of Leipzig, entrance at Löhrstraße 18, 04105 Leipzig, 5th floor

Language: English/German

Registration (open from October 28): https://terminplaner.dfn.de/public/bookings/af6f6519-b12b-43a3-8205-1ac6ca700888