From 96b58c768b29e6858ab14412e723d965db85d333 Mon Sep 17 00:00:00 2001
From: Ryan Harvey <ryanh412@gmail.com>
Date: Mon, 4 May 2026 13:00:17 -0400
Subject: [PATCH] Create PROJECT_DATA_ORGANIZATION.md

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+# Project Data Organization
+
+This document describes the recommended folder structure and naming convention for organizing project data.
+
+## Overview
+
+Each project should have a clear, informative name that reflects the dataset or experiment. For example:
+
+`hpc_ctx_project`
+
+Within each project folder:
+
+1. Create one subfolder per animal.
+2. Within each animal folder, create one subfolder per recording session.
+3. Within each session folder, store one subfolder per recording subepoch.
+4. Within each subepoch folder, store the raw Intan data and associated video files.
+
+## Folder Hierarchy
+
+The expected hierarchy is:
+
+```text
+project_name/
+  HP01/
+    session_name/
+      subepoch_name/
+  HP02/
+    session_name/
+      subepoch_name/
+```
+
+Using the example project:
+
+```text
+hpc_ctx_project/
+  HP18/
+    hp18_day18_20250422/
+      hp18_probe_250422_104827/
+      hp18_presleep_250422_110045/
+      hp18_cheeseboard1_250422_131312/
+      hp18_postsleep1_250422_134641/
+      hp18_cheeseboard2_250422_152803/
+      hp18_postsleep2_250422_160304/
+```
+
+## Naming Rules
+
+### 1. Project folder
+
+Project folders should use informative names. Example:
+
+`hpc_ctx_project`
+
+This makes it easier to distinguish projects at a glance and reduces confusion when multiple datasets are stored on the same server.
+
+### 2. Animal folder
+
+Each animal gets its own folder, using a short ID such as:
+
+`HP01`, `HP02`, `HP18`
+
+Using one folder per animal keeps sessions grouped together and makes it easy to browse all data collected from that subject.
+
+### 3. Session folder
+
+Each recording session should have its own folder. Example:
+
+`hp18_day18_20250422`
+
+This session name contains:
+
+- `hp18`: the animal ID
+- `day18`: the recording day
+- `20250422`: the calendar date in `YYYYMMDD` format
+
+This naming format makes it easy to identify the animal, the experimental day, and the actual recording date directly from the folder name.
+
+### 4. Subepoch folder
+
+Within each session folder, create one subfolder for each recording epoch started and stopped by the experimenter. Examples:
+
+- `hp18_probe_250422_104827`
+- `hp18_presleep_250422_110045`
+- `hp18_cheeseboard1_250422_131312`
+- `hp18_postsleep1_250422_134641`
+- `hp18_cheeseboard2_250422_152803`
+- `hp18_postsleep2_250422_160304`
+
+These names intentionally include:
+
+- the animal ID
+- the recording epoch label
+- the date stamp
+- the time stamp
+
+The timestamp portion is generated automatically by the Intan software. Including the animal ID and day-specific context in the subepoch name helps prevent copy/paste mistakes when multiple animals are being recorded on the same day and data are transferred to the server later.
+
+## What Goes Inside Each Subepoch Folder
+
+Each subepoch folder should contain the raw acquisition outputs for that recording block, including:
+
+- raw Intan data
+- corresponding video data
+
+The subepoch folder is the lowest-level organizational unit for raw data storage.
+
+## Why This Structure Helps
+
+This organization provides several benefits:
+
+- it keeps data grouped first by project, then by animal, then by session, then by recording block
+- it makes sessions easy to identify from folder names alone
+- it reduces the chance of mixing data across animals or days
+- it supports cleaner server transfers at the end of recording days
+- it preserves a predictable structure for downstream analysis pipelines
+
+## Example Full Path
+
+An example session path is:
+
+`U:\data\hpc_ctx_project\HP18\hp18_day18_20250422`
+
+An example subepoch path inside that session is:
+
+`U:\data\hpc_ctx_project\HP18\hp18_day18_20250422\hp18_probe_250422_104827`
+