Search2 Results

Overview of the Sleep Data Automation code, a project developed by the Mobile Technologies Core and the Sleep & Circadian Rhythm Laboratory to automate the process of cleaning sleep data from Fitbit fitness trackers and comparing or joining it to self-reported sleep diary data.

This article explores the importance of sharing code, addresses common reservations among researchers, and provides practical advice on how to share effectively. By increasing transparency and releasing code as open source, researchers not only meet the requirements of funding agencies and publications but also stimulate institutional, national, and global research progress.