DATA associated with peer-reviewed manuscripts should be easily available and accessible; however, the rapid expansion of flow cytometry (FCM) applications has outpaced the development of tools for storage, analysis, and data representation (1–3). In addition, data associated with peer-reviewed manuscripts are rarely available publicly and even then are usually not stored with explicit links to experimental metadata, such as data analyses procedures, experimental conditions used, or information about the samples processed. This link between data and metadata is crucial as it facilitates the understanding of analysis approaches and reproducible research. Having datasets linked to figures and summaries through a detailed explanation of the sample processing and analysis pipeline allows other scientists to ask additional questions and build upon the published findings.