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The article focuses on the data sources of race-based health information with accessibility to electronic resources, which can be beneficial for nursing practice and education of minority communities.

This article summarizes the current state of nurses' implicit bias and discusses the phenomenon from Levinas' face of the Other and ethics of belonging, Watson's human caring and unitary caring science, and Chinn's peace and power theory. Nurses' implicit bias is a global issue; the primary sources of nurses' implicit bias include race/ethnicity, sexuality, health conditions, age, mental health status, and substance use disorders. The current research stays at the descriptive level and addresses implicit bias at the individual level. This article invites nurses to go beyond "the face of the Other" and revisit the ethics of belonging and power., Competing Interests: The authors do not have any conflict of interest to declare., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)