FAIRify your Data 2.0

About the event

The FAIR principles (Findable, Accessible, Interoprable and Reusable) are a central guiding principle of research data management. They indicate how reusable published datasets are. The careful preparation of research data by researchers and the functionality and features of the repositories used jointly determine the FAIRness of datasets.
How can we measure how "FAIR" a dataset actually is? This is where FAIR assessment tools come into play - tools that objectively evaluate the FAIRness of data. Due to the rapid development of FAIR assessment in recent years, we are dedicating a follow-up event to our 2023 webinar to the associated tools. After an introduction to the FAIR principles and a brief overview of different FAIR assessment tools, a short break will be followed by the presentation of our new FAIR assessment tool, which has been specially designed for use by researchers and staff in research data management.

We will first offer a demonstration of the tool. You will then have the opportunity to try out the tool for yourself. Please bring the DOIs or URLs of your own datasets with you. Don't worry: If you don't have your own data to hand, you can work with sample datasets provided by the speakers. The event will be recorded (without the chat texts, microphone or webcams of the participants) and published, but no participants will be recognisable.