Trainer: Roman Gerlach, Pascal Scherreiks
13 May 2025, 9-13
15 May 2025, 8:30-11:30
You have spent months collecting samples and taking measurements in the field or in the laboratory? You have researched, analysed and interpreted this data and finally published your results in a scientific journal? Then it's time to think about your data again and consider what you want to do with it now. Or are you just starting your doctoral thesis or postdoc project and want to make sure you don't miss anything when recording and documenting your measurements?
According to the guidelines for ensuring good scientific practice, your results should be replicable and repeatable. Today, funding organisations, research institutions and publishers require research data to comply with the FAIR guiding principles, which means that your data should be findable, accessible, interoperable and reusable. To ensure this, your data should be well documented, securely stored and prepared for future reuse. Publishing your research data in a dedicated data journal or repository can help you achieve this and earn you additional publication and citations.
Data publication and long-term archiving are just two aspects of research data management. This workshop is designed to help you determine your data management needs, no matter what stage of the project you are at. You will also receive practical guidance on how to organise, structure, describe and publish your data to comply with good scientific practice.