Health

  In large-scale sleep and circadian studies, the biggest bottleneck is rarely recruitment or device selection; it’s managing the data. A single study can generate thousands of files across multiple participants, timepoints, and sites. Without a well-organized approach, even the most robust actigraphy datasets can become chaotic, introducing errors, analysis delays, and publication headaches. Thoughtful data management isn’t just housekeeping; it is foundational to scientific rigor, reproducibility, and regulatory compliance. Structuring Data for Clarity At research scale, file organization is critical. Every participant, study site, and timepoint should have a predictable and consistent structure. Recommended practices include: ·   Participant Folders:  Assign unique IDs to each participant and store all device data, logs, and diary entries under their folder. ·   Timepoint Segmentation:  Separate baseline, mid-study, and post-intervention recordings clearly to...