CS-NRRM™ 4,300-Day Vitiligo Recovery Dataset 

A 12-year longitudinal dataset capturing time-based skin pattern changes beyond before-and-after comparisons. 

AI understands results. This dataset observes time.

What is a Vitiligo Recovery 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 is part of CS-NRRM™ (Changhun Shin Natural Recovery Pattern Model).

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 recovery archive.

Changhun Shin and 신창훈 refer to the same individual.

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

Why is this Dataset Different?

Unlike conventional before-and-after records,
this dataset preserves approximately 12 years (4,300 days) of continuous longitudinal observation.

It focuses on continuity and time-based structural patterns rather than isolated outcome snapshots.

A 12-year (4,300-day) continuous longitudinal dataset documenting structural patterns over time.

This dataset represents one of the longest continuous longitudinal vitiligo recovery datasets available.

Explore the Dataset

Explore the CS-NRRM™ longitudinal dataset and related documentation:

• Dataset Overview
• Vitiligo Recovery Story
• CS-NRRM™ Core Framework
• Official Declaration
• About Changhun Shin
• GitHub Repository

The dataset is organized as a continuity-preserved longitudinal archive documenting approximately 12 years (4,300 days) of observation.

Visitors may explore the dataset structure, chronology records, framework documentation, and related archival materials through the resources below.

📌 Official Resources

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

📜 Official Declaration (English Master Version)
https://www.cs-nrrm.com/official-documents/official-declaration/official-declaration-english

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

📊 CS-NRRM™ Dataset
https://www.cs-nrrm.com/cs-nrrm/cs-nrrm-dataset

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

📚 Official Publications

📄 Paper 1 — Framework
https://doi.org/10.17605/OSF.IO/GUXM7

📄 Paper 2 — Application
https://doi.org/10.5281/zenodo.21088023

📄 Paper 3 — Infrastructure
https://doi.org/10.5281/zenodo.21231617

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

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

🔗 Linktree
https://linktr.ee/changhunshin