Biological imaging data are a valuable resource for life science research, but their long-term value depends on effective data management. This collection introduces key concepts and best practices for managing imaging data throughout the research lifecycle, including standards such as OME-Zarr, public repositories, REMBI, and ontologies. Participants will explore the principles of FAIR data and discover how community-driven approaches can improve the findability, accessibility, interoperability, and reuse of imaging data.