When a group of geographically dispersed scientists collaborate on hair cell regeneration in three different animal models—chicken, zebrafish, and mouse—and use multiple methods to track how genes “instruct” cells (multi-omics), an enormous amount of data results. The work of visualizing, conceptualizing, and analyzing these data presents a considerable challenge, and as technology has advanced, much of the multi-omic data is generated at the single cell level, resulting in datasets and files that are too big to process with traditional tools, such as Excel worksheets. The gEAR portal (gene Expression Analysis Resource, umgear.org) responds to this need by enabling meaningful visualization and analysis of these complex datasets in the public or private domain—no advanced programming skills required. It has also evolved to become a primary data sharing, visualization, and analysis tool for auditory researchers outside of the HRP to become a platform that supports the hearing research community at large.