Data with a Smile: Turning FAIR into Fun

The data you collect, process, and analyze is not only important for your own research but also holds potential value for the broader scientific community. To maximize its impact, it is essential to make your research data Findable, Accessible, Interoperable, and Reusable (FAIR) by adhering to the FAIR principles. These principles enhance data discoverability, accessibility, and reusability, ensuring that others can effectively build upon your work. This workshop will explore the advantages of applying FAIR principles to research data management. Participants will learn best practices for storing, organizing, documenting, and sharing research data to enhance its usability and long-term accessibility. During the hands-on session, participants will actively apply the FAIR principles in practice. We will guide them through the process of making the dataset FAIR-compliant before its publication in a repository, ensuring its long-term accessibility and reusability for the research community.