Accurate scoring of actigraphy and wearable data is critical for deriving meaningful insights into sleep behavior. The process involves identifying periods of sleep and wakefulness, calculating key metrics such as sleep onset latency and total sleep time, and evaluating patterns of sleep continuity and fragmentation. Scoring requires a thorough understanding of the device's underlying algorithms, as well as the context in which the data were collected. Factors such as the participant's activity patterns, the device's placement on the body, and the settings used during data collection can all influence the accuracy and reliability of the results.