I’ve spent the last year maintaining a public longitudinal self-tracking archive covering wearables, sleep, recovery, training, body composition, biomarkers, and weekly reporting.
The repository includes:
– raw and processed datasets
– longitudinal sleep and wearable records
– weekly reports
– audit trails
– prediction tracking and model-error analysis
– changelog and governance documentation
My goal isn’t optimization as much as documenting what long-term observation of a single subject looks like when treated like a data project.
I’m particularly interested in feedback on:
– dataset structure
– governance
– reproducibility
– longitudinal analysis opportunities
– potential blind spots in methodology
Current archive size: ~1 year of daily observations, weekly reports, wearable records, biomarker snapshots, and prediction-tracking artifacts.
Repository:
submitted by /u/Intelligent-Arm-9001
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