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DTSTART;TZID=Europe/Berlin:20261202T100000
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DTSTAMP:20261010T204113Z
CREATED:20260924T123200Z
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UID:2150-1796205600-1796227200@come2data.de
SUMMARY:JupyterLab + AI Assistant as Research Data Management Workbench
DESCRIPTION: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.\n\n\n\n\nRequirements: Basic Python programming knowledge; Confidence in using your own laptop\, particularly the command prompt/terminal\, and the ability to install software on the laptop; Bring your own laptop\n\n 	Date: December 2\, 2026\, 10:00 a.m.–4:00 p.m.\n 	Location: Data Science Center ScaDS.AI – University of Leipzig\, entrance at Löhrstraße 18\, 04105 Leipzig\, 5th floor\n 	Language: English/German\n 	Registration: https://terminplaner.dfn.de/public/bookings/af6f6519-b12b-43a3-8205-1ac6ca700888\n\n\nVoraussetzungen:\n\n\n 	Your own laptop\, with the ability to install software\n 	Basic knowledge of programming in Python\n 	Proficiency in using your own laptop\, including the terminal/command line
URL:https://come2data.de/event/jupyterlab-ai-assistant-as-research-data-management-workbench/
LOCATION:Data Science Center ScaDS.AI – University of Leipzig\, Löhrstraße 18\, 5th floor\, Leipzig\, 04105\, Germany
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