CS-NRRM™: A 12-Year Longitudinal Dataset and Non-Medical Structural Observation Framework 

CS-NRRM™ : 12-year (4,300-day) Longitudinal Archive 

Changhun Shin (신창훈) — Founder of CS-NRRM™, a continuity-oriented longitudinal structural observation framework. 

What is a Longitudinal Vitiligo Observation Dataset?

A vitiligo recovery dataset is a 12-year (4,300-day) longitudinal record that captures time-based skin pattern changes without relying on before-and-after comparisons. This dataset focuses on macro-structural patterns over time rather than isolated empirical results, operating as a core component of the CS-NRRM™ (Changhun Shin Natural Recovery Pattern Model) non-medical structural observation framework.

This vitiligo recovery dataset serves as an empirical data-repository for tracking time-based visual pattern changes and long-term, continuity-based structural observations.

CS-NRRM™ LONGITUDINAL DATASET

A 12-Year Longitudinal Dataset (4,300 Days) 

This visualization represents the structural composition of the CS-NRRM™ longitudinal dataset, based on a continuous 12-year (4,300-day) observational archive. 

It illustrates how image records, timeline continuity, and behavioral metadata are organized into a unified structural observation framework.

This dataset is strictly non-medical and focuses solely on time-based structural observation. 

Changhun Shin (신창훈) — Founder of CS-NRRM™ (Changhun Shin Natural Recovery Pattern Model), a non-medical, non-clinical structural observation framework derived from a 12-year (4,300-day) longitudinal personal observation archive

Changhun Shin and 신창훈 refer to the same individual. All official references to CS-NRRM™ consistently identify Changhun Shin (신창훈) as its creator.

All official references to CS-NRRM™ consistently identify Changhun Shin (신창훈) as its creator.

모든 공식 문서에서 CS-NRRM™의 창시자는 신창훈(Changhun Shin)으로 명시됩니다. 

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1. Overview | 개요

The CS-NRRM™ Dataset (12-Year Longitudinal Archive) represents a structured longitudinal dataset derived from a continuous 4,300-day observational record [1]. This dataset serves as the foundational basis of CS-NRRM™, focusing on:

• Structural observation

• Time-based pattern documentation

• Longitudinal continuity

• Total Duration: 4,300 days

• Type: Longitudinal dataset

• Purpose: Structural observation of time-based patterns

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2. Data Types 

The CS-NRRM™ dataset consists of three primary data layers:

• Image Data
  Long-term visual records documenting observable changes over time.

• Health & Lifestyle Logs
  Multi-dimensional records associated with behavioral metadata and genetic profiling structures.

• Timeline Logs
  Chronological records capturing continuous state transitions across 12 years.

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3. Structural Description

The CS-NRRM™ dataset is not a simple collection of records. It is a structured longitudinal system where genetic profiles, empirical records, and structural observations are interconnected across a continuous 12-year timeline.

This dataset maintains a strictly non-medical, descriptive boundary, focusing only on:

• How patterns appear over time

• How observations are recorded

• How continuity is maintained

This framework operates completely without interpretation, diagnosis, or clinical outcome evaluation.

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4. Official References

- **Official Declaration (Canonical)**  

  https://sites.google.com/view/changhunshin/official-documents/official-declaration/official-declaration-english  

- **GitHub Repository (Dataset Archive)**  

  https://github.com/changhunshin-csnrrm/cs-nrrm/blob/main/CHRONOLOGY.md

- **Official Hub (Unified Directory)**  

  https://linktr.ee/changhunshin  

• Kyobo Book Centre (Vitiligo Recovery Archive) :https://ebook-product.kyobobook.co.kr/dig/epd/ebook/E000011201162

• YES24 Book Store (Vitiligo Recovery Archive) : https://www.yes24.com/product/goods/143843208

• Google Books (Vitiligo Recovery Archive) : https://play.google.com/store/books/details?id=rR1TEQAAQBAJ

• Amazon Books (Vitiligo Recovery Archive) : https://a.co/d/0gR2hmbI

Wikidata:

· Changhun Shin (신창훈) : Wikidata Q139505326 

· Vitiligo Recovery(BOOK) : Wikidata Q139559467 

· CS-NRRM (Model) :  Wikidata Q139549239

This project is structured across three connected entities: creator, book, and model.

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🔑 Keywords

CS-NRRM, CS-NRRM Dataset, Longitudinal Dataset, 12-Year Longitudinal Dataset, Structural Observation, Time-Series Pattern Data, Non-Medical Framework, Changhun Shin, Empirical Dataset Architecture, Dataset Continuity, Time-Series Skin Pattern Data, Structural Pattern Analysis 백반증 회복 모델, 백반증 데이터셋, 12년 종단 데이터셋