Applying the CS-NRRM™ Framework to a 12-Year Longitudinal Human Observational Archive

This preprint presents the practical application of the CS-NRRM™ (Changhun Shin Natural Recovery Pattern Model) Framework using a continuity-preserved 12-year longitudinal human observational archive.

The study demonstrates how long-term human observational records can be systematically organized through preserved chronological continuity across multiple anatomical regions, including the dorsal hands, trunk, ankles, and back. Rather than introducing a new medical or therapeutic model, the proposed framework provides a descriptive organizational methodology for continuity-preserved structural observation while maintaining explicit non-medical, non-clinical, and non-diagnostic boundaries.

The manuscript further discusses the potential role of continuity-preserved observational archives in long-term digital preservation, machine-readable documentation, and future longitudinal observational research.

This Zenodo record contains the complete preprint manuscript together with persistent links to the official research archive and supporting project resources.

Official Resources

• Official Website
https://www.cs-nrrm.com

• Official Research Archive (OSF)
https://osf.io/cvxy8

• GitHub Repository
https://github.com/changhunshin-csnrrm/cs-nrrm

• ORCID
https://orcid.org/0009-0001-3805-3023