Give Your Data Context – On Documentation and Data Quality


15.12.2022


13:00 - 13:30 Uhr


Data Science Forum


Referent*in:
Heike Thöricht
Data Steward, DSC, Universität Bremen

Ort:
Hybrid (MZH und Zoom)


Sprache: Englisch

Zoom-Link zum Event

.ics Kalender-Eintrag


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We invite you to a culinary data break served in five short sessions to share our love for cooking research data. Based on the DFG-CHECKLIST for handling research data, we have created a menu on the different data topics that are essential for the success of your funding proposals. We will provide you with recipes for data handling that will help you meet the new DFG requirements. The entire menu can be found on the right and HERE.

WHAT’S THIS SESSION ABOUT?

In this session, we will address the second aspect of the DFG-Checklist “Documentation and Data Quality”.

“Where was this one file, the one where I tried...”
Spending quite some time looking for a specific data file
Been there, done that.

Join this session to get ideas from data steward Heike Thöricht on how to organise and document your data. This way the whole project team and your (future) self can avoid unnecessary waste of time and simoultaneously you make your data interoperable and reusable, as the funders request.

ABOUT THE SPEAKER

With her diploma in Sociology Heike Thöricht joined the University of Innsbruck in 2018 and worked in the project e-Infrastructures Austria Plus , in the successor project FAIR Data Austria and in a Research Data Management project of the University. In her role as a data steward at the DSC since June 2022, she advises researchers from the social sciences and humanities of the UBremen Research Alliance throughout the entire research data lifecycle.

WHERE AND WHEN?

The info event will take place in hybrid format from 1:00 to 1:30pm at MZH and via Zoom. There will be a 15-minute presentation followed by an open forum for questions and discussion. If you would like to be present on site at the MZH, please use the registration form on the left for better planning. We look forward to exciting discussions!



Das Data Science Center wird gefördert vom:
Förderhinweis BMBF Förderhinweis EU