Certificate Course: Research Data Management for the Natural, Life, and Environmental Sciences

The course will take place on  June 15 and 17 2026, from 9 a.m. to 1 p.m. in person.

You spent months on collecting samples and measurements in the field or in the lab? You explored, analysed and interpreted this data and finally published your findings in a scientific journal? Well, then it is time to think about your data again and what to do with it now. Or are you just starting your PhD or your postdoc project and want to make sure not to miss anything when it comes to obtaining and documenting your measurements?

According to the DFG Guidelines for Safeguarding Good Research Practice your results should be replicable and repeatable. Nowadays, funding organisations, research institutions and publishers request research data to meet the FAIR guiding principles, which means your data should be findable, accessible, interoperable and re-usable. To ensure this, your data should be well documented, securely stored and prepared for later reuse. Publishing your research data through a dedicated data journal or repository may help you on this and may also get you an additional publication and further citations.

Data publishing and long-term preservation are just two aspects of research data management. This workshop shall help you in determining your data management requirements, no matter at which stage of the project you are. In addition, the course provides you with practical guidance on how to organize, structure, describe and publish your data in order to comply with good research practice.

The course will take place on two separate days with a self-study day in between. During the live sessions there will be exercises, group work, discussions and some presentations.

Please note: This workshop is geared towards the Natural, Life, and Environmental Sciences. If you are from the Humanities or Social Sciences we offer a dedicated workshop once a year.

Free Registration under:Qualifications Portal of the Friedrich-Schiller-University Jena - Research Data Management – Make your data count!External link 

LanguageEnglishCore areas

•     Basic concepts in research data management
•     Documentation, data organisation, metadata
•     Storage and back-up
•     Archiving
•     Publication and re-use of research data
•     Legal aspects
•     Data management plans

Duration: 0.5 ECTS-Credits

Target Group: Doctoral and postdoctoral researchers

Further information:

This course is creditable for the certificate "Digital Research".
This course is creditable for the certificate "Science Management" and „Start-up management“ (from the Graduate Academy) in the optional area.