ABOUT THE DATA SNACKS
We invite you to a culinary data break served in five short sessions to share our love for <s>cooking</s> 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 first aspect of the DFG-Checklist “Data Description”.
Have you ever thought about how to describe your research data to your grandmother and how to your funding agency?
We will snack on two different concepts that are important for communicating about your data. Describing data and data description sound similar, but they are different in many ways. There is descriptive data about your data, which is a type of metadata. And there is data description, which is concerned with information about file formats and data types. Both have to be considered for your data handling strategy in your (DFG) proposal.
You as researcher know best about your data and the aim of this session is to provide you with the relevant information about what funders need to know about your data description in your proposal.
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 register via the registration form on our website for better planning. We look forward to exciting discussions!
ABOUT THE SPEAKER
Sandra Zänkert completed her PhD in Biological Psychology at the University of Regensburg and joined the DSC as a Data Steward in June 2022. She is interested in all topics related to open science, reproducibility and sustainability in the research process. As data steward, she supports researchers from the natural and especially the health sciences of the U Bremen Research Alliance throughout the data life cycle.
