Foto der Graduierten Akardemie. Zusehen ist ein Kugelschreiber, der auf eimem Bild eines Seulendiagramms liegt.

Research data management in the humanities and social sciences

An introduction to research data management in the humanities and social sciences
Foto der Graduierten Akardemie. Zusehen ist ein Kugelschreiber, der auf eimem Bild eines Seulendiagramms liegt.
Image: Graduierten Akardemie
Event details
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End
Types of event
Informationsveranstaltung
Venue
Auditorium Zur Rosen
Johannisstraße 13
07743 Jena
Google Maps site planExternal link
Language of the event
German
Event website
Learn moreExternal link
Wheelchair access
Yes
Public
Yes
Registration required
Yes
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The event will take place on 3rd of February 2025 from 9.00 am to 1.00 pm as a face-to-face event. The lecture language is German.

The humanities and social sciences are increasingly working with digital data, for example questionnaires, video/audio recordings, transcripts, annotations and photographs, which means that the correct handling of this research data is becoming more and more important.
 
After months of collecting, analysing and interpreting the data, you now want to publish your findings in a scientific journal? Then it's time to take another look at your data and think about how it can be processed. Or are you in the starting blocks of your doctoral thesis or postdoc project and want to make sure that you haven't overlooked anything while conducting and documenting your research?
 
According to the DFG guidelines for good scientific practice, your results should be comprehensible and reproducible. Have you ever heard of FAIR data? In relation to your data, this means that it should be Findable, Accessible, Interoperable and Reusable. Are you aware that publishing your data in a dedicated data journal or repository can not only help you fulfil these requirements, but can also help you gain additional publications and citations?
 
Publishing and long-term archiving of your data are just two aspects of research data management. This workshop is designed to help you identify your data management needs, no matter what stage of the project you are at. It is also designed to give you practical guidance on how to organise, structure, describe and publish your data to meet the requirements of good scientific practice.

Further information and the possibility to register can be found hereExternal link.