Practical Data Publication

Organizational Details:

• Application is open for all doctoral researchers participating in IntCDC (including associated researchers, postdocs, independent junior research group leaders, PIs/PRs).
• The workshop is free of charge and is held in English. If preferred by all participants of a course, it will be switched to German.
• The workshop takes place in attendance and will take 2 hours. Check the sessions on ILIAS for the respective location and time slot.
• The number of participants is limited to 10 persons.
• The workshop will be repeated regularly. New dates will be announced via the IntCDC newsletter or you can check the ILIAS page for newly added sessions.
• The workshop is complemented by regular office hours for individual support.



If you have any questions, please do not hesitate to contact the RDM team via
rdm@intcdc.uni-stuttgart.de

The Practical Data Publication workshop introduces the IntCDC-specific research data management workflows hands-on.

After two hours, you will be able to:
• select an appropriate storage location for your new data
• effectively enrich newly generated or collected data with suitable metadata
• use this metadata to document your data in the data management plan of your research project
• use this metadata to publish your dataset in accordance to the FAIR principles on the Data Repository of the University of Stuttgart (DaRUS) as an example.

All processes are approached practically. Therefore, it is recommended to bring your own laptop and have access to your own data set to which the processes can be applied directly. The only requirement for the laptop is to be able to connect to the eduroam WiFi. Details for additional preparatory tasks will be announced to all participants before the workshop.

The workshop is supplemented by regular office hours for individual support, which allows specific questions to be solved and discussed even after the workshop.

Application is open for all doctoral researchers participating in IntCDC (including associated researchers, postdocs, independent junior research group leaders, PIs/PRs)

IntCDC Research Data Management

Practical tailored hands-on introduction to the IntCDC research data management workflow.

Englisch

All rights reserved

Matthias Braun

Research Data Management

+49 711 685-88607

rdm@intcdc.uni-stuttgart.de

Every Thursday from 14:00 to 15:00 the office hours are held for all questions about research data management and research software engineering. We can either meet online via WebEx or in person.

Unbegrenzt – wenn online geschaltet

Sie können diesem Kurs direkt beitreten.

Unbegrenzt

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