Universität Bonn

Research Data Service Center

Future events

Events of the Research Data Service Center

  • 2026-10-28T09:00:00+01:00
  • 2026-10-28T12:30:00+01:00
October

28

Wednesday

Oct 28, 2026 from 09:00 AM to 12:30 PM

Your research is complete and your data are ready—but where and how should you publish them? This practical workshop introduces key options for publishing research data and helps you prepare your data and its documentation for publication. In Part 1, we cover the publication workflow: selecting suitable data, checking legal and ethical requirements, organizing files, creating documentation, choosing a licence and selecting an appropriate publication platform. In Part 2, we focus on bonndata, the University of Bonn’s research data repository. Using the bonndata sandbox, you will create a test dataset, explore the submission process and gain hands-on experience with data publication in a repository. Bring your own dataset and successfully publish it in the bonndata sandbox! By the end, you will understand your publication options and have a practical roadmap for making your research data accessible and reusable. A laptop with an access to the eduroam network is required.

  • 2027-04-09T09:00:00+02:00
  • 2027-04-30T12:30:00+02:00
April

9

Friday

Apr 09, 2027 09:00 AM to Apr 30, 2027 12:30 PM

This four-week online course develops practical skills for building scientific Python software that is easier to understand, test, and reuse. Participants organize projects and environments, structure computations with functions, test behavior with pytest, and validate inputs and data. The course also introduces separating interfaces from internal computation, profiling code, and measuring how data representation, disk access, compiled code, and GPU computing affect performance.

  • 2027-06-14T09:00:00+02:00
  • 2027-07-05T12:30:00+02:00
June

14

Monday

Jun 14, 2027 09:00 AM to Jul 05, 2027 12:30 PM

This four-week online course shows how to turn scientific analyses into explicit, reproducible workflows. Participants will separate code from configuration, track data and provenance, automate pipelines with Snakemake, and package computational environments for execution across machines and computing infrastructure.

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