Data is an essential part of research and therefore invaluable to researchers. Whether small sample or "Big Data", research data should be managed thoughtfully and systematically. Systematic research data management provides support for daily research practice and, in the context of good scientific practice, is a prerequisite for the reproducibility of scientific research and the re-use of data.  

In order to meet these requirements, attention should be paid not only to research data in the strict sense, but also to relevant, contextual metadata.  

This workshop offers an advanced course on data documentation and metadata within the context of your own RDM. By means of a playful exercise, different ways of documenting data are introduced, which can then be transferred to your own data. You will learn about different types of metadata and metadata standards and can start to enrich your data with metadata during the workshop.  

Bring your own data! This means that you will work directly on your data, documents, folders etc. during the course. Please bring your laptop with you. 

Registration

This event is part of a training series on research data management organized by the Service Center Research Data in cooperation with the Graduate Academy. Further events can be found on the websites of the Graduate Academy and the Service Center Research Data.