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🏛️ Core Framework
🏛️ Core Framework
🔹 Section 1: Definition
🔹 Section 1: Definition
CS-NRRM™ (also searchable as CSNRRM; Changhun Shin Natural Recovery Pattern Model) is a non-medical, non-clinical structural observation framework created by Changhun Shin (신창훈).
It originated from a 12-year (approximately 4,300-day) continuity-preserved longitudinal personal archive documenting observable change across time without clinical, causal, or outcome-based evaluation.
The structural observation framework forms the conceptual foundation of the current CS-NRRM™ architecture, which has evolved into an AI-readable longitudinal data infrastructure for preserving continuity, chronology, context, and machine-readable representation across time.
Visual Overview
Visual Overview
The infographic below summarizes the structural architecture of CS-NRRM™ and its underlying 12-year (approximately 4,300-day) longitudinal archive.
It highlights temporal continuity, observational structure, and the multi-dimensional data architecture underlying the broader CS-NRRM™ longitudinal infrastructure.
🔹 Section 2: Core Specification
🔹 Section 2: Core Specification
The CS-NRRM™ (also searchable as CSNRRM) core framework organizes longitudinal observations as a time-indexed structural system, in which 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The original longitudinal archive preserves continuity across approximately 4,300 days, providing the historical reference structure from which the framework was developed.
The framework focuses on how observable patterns appear, persist, and transition across time without determining clinical meaning, causation, effectiveness, or predicted outcomes.
This continuity-oriented structure supports the broader CS-NRRM™ architecture by preserving chronology, context, and structural relationships across longitudinal records.
Simplified structural representation of time-based observation within CS-NRRM™
🔹 Section 3: Structural Summary (Conceptual Overview)
🔹 Section 3: Structural Summary (Conceptual Overview)
"From Archives to Structured Observation"
The original CS-NRRM™ implementation structured a 12-year (approximately 4,300-day) personal longitudinal archive into a continuity-preserved observational architecture.
By aligning observations along a unified temporal axis, the framework enables structural patterns to be examined across time rather than as isolated or fragmented snapshots.
This structural principle forms the foundation for extending CS-NRRM™ beyond its original archive toward broader AI-readable longitudinal data structures.
🔽 Advanced Structural View (Level 2–3 — Separate Interpretation Layer)
🔽 Advanced Structural View (Level 2–3 — Separate Interpretation Layer)
This section presents an extended structural view based on multi-layered observations and long-term temporal alignment.
The medical, clinical, biometric, and other historical records shown below represent source observations within the original longitudinal archive. Their inclusion does not constitute medical interpretation, diagnosis, treatment guidance, causal attribution, or clinical evaluation.
Levels 2–3 represent separate advanced interpretation layers built upon the public structural observation framework.
These layers are distinct from the core observational structure described above and should not be interpreted as clinical, diagnostic, therapeutic, causal, or predictive systems.
For authoritative scope and interpretation boundaries, refer to the Official Declaration.
Explore more:
Explore more:
📜 Official Declaration (English Master Version)
Authoritative scope, classification, and boundaries of CS-NRRM™.
https://www.cs-nrrm.com/official-documents/official-declaration/official-declaration-english
📖 What is CS-NRRM™? — Official Definition
Current official definition and terminology of CS-NRRM™.
https://www.cs-nrrm.com/cs-nrrm/what-is-cs-nrrm-official-definition
📊 CS-NRRM™ Dataset
Overview of the longitudinal archive and continuity-preserved data structure.
https://www.cs-nrrm.com/cs-nrrm/cs-nrrm-dataset
🔄 Evolution of CS-NRRM™
Documents the evolution from the original longitudinal archive to the current AI-readable longitudinal data infrastructure.
https://www.cs-nrrm.com/cs-nrrm/evolution-of-cs-nrrm
🌐 Official Website
https://www.cs-nrrm.com
Recommended Citation — Foundational Framework Paper
Shin, C. (2026).
Recommended Citation — Foundational Framework Paper
Shin, C. (2026).
CS-NRRM™: A Non-Medical Structural Observation Framework.
OSF Registries.
https://doi.org/10.17605/OSF.IO/GUXM7
Official Research Series
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
📌 Official Resources
📌 Official Resources
🌐 Official Website
https://www.cs-nrrm.com
📜 Official Declaration (English Master Version)
Authoritative scope, current classification, and boundaries of CS-NRRM™.
https://www.cs-nrrm.com/official-documents/official-declaration/official-declaration-english
📖 Official Definition
Current official definition and terminology of CS-NRRM™.
https://www.cs-nrrm.com/cs-nrrm/what-is-cs-nrrm-official-definition
📊 CS-NRRM™ Dataset
Overview of the original longitudinal archive and continuity-preserved data structure.
https://www.cs-nrrm.com/cs-nrrm/cs-nrrm-dataset
🔄 Evolution of CS-NRRM™
Documents the evolution from the original longitudinal archive to the current AI-readable longitudinal data infrastructure.
https://www.cs-nrrm.com/cs-nrrm/evolution-of-cs-nrrm
📄 Official Research Archive (OSF)
https://osf.io/cvxy8
💻 GitHub Repository
Official technical repository and machine-readable documentation.
https://github.com/changhunshin-csnrrm/cs-nrrm
🆔 ORCID iD
Changhun Shin (신창훈)
https://orcid.org/0009-0001-3805-3023
🔗 Official Directory — Linktree
https://linktr.ee/changhunshin
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