Faithful data representation is key. While this is universally true for visual analysis, the field of biological data communication has its unique challenges and open questions. Researchers need the right context to interpret data accurately, especially when uncertainties arise from factors like sampling choices or analysis parameters. Simplifying data for wider audiences must still convey its complexity and uncertainty to support informed decisions. This Dagstuhl Seminar will bring together experts in data visualisation and design, researchers, public educators, and journalists to explore methods for embracing and communicating biodata complexity and uncertainty.