CS-NRRM™ | A Non-Medical Structural Interpretation Framework

Core Framework (Structure)

🏛️ Core Framework

🔹 Section 1: Definition

CS-NRRM™ (Changhun Shin Natural Recovery Pattern Model)
is a non-medical, non-clinical structural interpretation framework

created by Changhun Shin,
based on a 12-year (4,300-day) continuous longitudinal dataset

documenting patterns of change over time
without outcome-based evaluation.

Visual Overview

The infographic below summarizes the architecture of CS-NRRM™ and its underlying 12-year (4,300-day) longitudinal archive.

It highlights temporal continuity, observational structure, and the multi-dimensional data architecture that forms the foundation of the framework.

🔹 Section 2: Core Specification

CS-NRRM™ operates as a time-series structured observational model.
where each timestamp functions as a reference point within a unified temporal axis.

Each reference point integrates multiple observational elements
within a continuous temporal sequence.

The framework maintains continuity across 4,300 days,
allowing patterns to emerge through sustained observation.

It focuses on how patterns appear, persist, and transition,
without interpreting outcomes, causes, or effectiveness.

Simplified structural representation of time-based observation within CS-NRRM™

🔹 Section 3: Structural Summary (Conceptual Overview)

"From Archives to Structured Observation"

CS-NRRM™ transforms a 12-year personal archive
into a continuous observational system.

By aligning data along a unified temporal axis,
it enables the recognition of patterns
that may not be visible in fragmented or short-term records.

🔽 Advanced Structural View (Level 2–3)

This section presents an extended structural view based on multi-layered observations and long-term temporal alignment.

Explore more:

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

Core Framework
https://www.cs-nrrm.com/cs-nrrm/cs-nrrm-overview/core-framework

What is CS-NRRM™?
https://www.cs-nrrm.com/cs-nrrm/what-is-cs-nrrm-official-definition

Dataset
https://www.cs-nrrm.com/cs-nrrm/cs-nrrm-dataset

Recommended Citation

Shin, C. (2026).

CS-NRRM™: A Non-Medical Structural Observation Framework.

OSF Registries.

https://doi.org/10.17605/OSF.IO/GUXM7

Official Research Series

The CS-NRRM™ research program currently consists of three complementary publications that progressively establish the conceptual framework, demonstrate its application, and extend it into an AI-readable continuity infrastructure.

Paper 1 — Framework

CS-NRRM™: A Non-Medical Structural Observation Framework

https://doi.org/10.17605/OSF.IO/GUXM7

Paper 2 — Application

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

https://doi.org/10.5281/zenodo.21088023

Paper 3 — Infrastructure

Toward an AI-Readable Continuity Infrastructure:

Organizing Longitudinal Human Observational Archives Through the CS-NRRM™ Framework

https://doi.org/10.5281/zenodo.21231617