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Sleep estimation is a near ubiquitous feature of smart watches and fitness trackers; therefore, sleep parameters have become desirable to include in research as both predictor variables or outcomes. However, not all sleep parameters provided by wearable sleep trackers are considered reliable for the purpose of research and appropriate selection and calculation of aggregate sleep values are required for hypothesis generation and testing.

DIGIT-MI recordings from the 2022-2023 academic year. DIGIT-MI monthly meetings allow investigators across the University of Michigan to connect, learn, and share resources that encourage the increased use of digital and mobile technologies and mental wellness in research across multiple disciplines.