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Research transparency has become a common topic of discussion in many fields, including human-computer interaction (HCI). However, constructive discussions require a shared understanding, and the diversity of contribution types and ways of doing research inHCI have made dialog about research transparency difficult. With this paper, we aim to facilitate such dialog by proposing a definition of research transparency that is broadly encompassing to diverse types of HCI research: Research transparency refers to honesty and clarity in all communications about the research processes and outcomes—to the extent possible. We unpack this definition to highlight the different facets of research transparency and offer examples of how transparency can be practiced across different HCIcontribution types, including non-empirical contributions. With this article, we argue that research transparency does not have to be inflexible and that transparency in HCI research can be achieved in many ways depending on one’s methodology or contribution type. Supplementary material is available on https://osf.io/gs4fy/.