diff --git a/.gitignore b/.gitignore
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+++ b/.gitignore
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 # Hugo output
 public/
 resources/
+!content/resources/
 .hugo_build.lock
 
 # Editor
diff --git a/content/resources/_index.md b/content/resources/_index.md
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+---
+title: Resources
+type: resources
+---
+
+This is the resources top-level page.
+
diff --git a/content/resources/getting-started/_index.md b/content/resources/getting-started/_index.md
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+---
+title: Getting Started with ReproNIM
+prev: /resources
+weight: 2
+---
+
+this is the index page for getting started
+
+## Introduction
+
+### The ReproNIM philosophy
+
+Incorporate reproducible practices into the typical neuroimaging workflow.  These practices ensure more robust, well documented studies at the end for you, your colleagues and your peers.
+
+### Personas
+![](/images/user1.jpg)
+![](/images/user2.jpg)
+![](/images/user3.jpg)
+![](/images/user4.jpg)
diff --git a/content/resources/getting-started/basics.md b/content/resources/getting-started/basics.md
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+---
+title: The Basics of Reproducible Neuroimaging
+linkTitle: Basics
+type: docs
+weight: 1
+---
+
+## ReproNIM Best Practices
+
+1. Proper planning:
+    1. See:  Reproducible Results
+    1. Good science basics, how many subjects etc
+    1. Pre-registration, review from statistician
+1. Data and metadata management:
+    1. Follow NIH Mandates [Citation needed]
+    1. Use standard data formats and extend them to meet your needs.
+    1. Use version control from start to finish
+    1. Annotate data using standard, reproducible procedures
+1. Software management:
+    1. Use released versions of open source software tools.
+    1. Automate the installation of your code and its dependencies
+    1. Automate the execution of your data analysis
+    1. Use containers where reasonable
+1. Re-executable publications
+
+## How much will it cost?
+
+1. Direct Resource Cost: Are the infrastructure requirements currently met? (Cloud Infrastructure and Physical Hardware)
+1. What tools and standards need to be adopted?
+1. Do any lab members/collaborators already have experience with the new tools and standards?
+1. How comfortable are the collaborators with technical fundamentals like the command line?
+
+## Basic Implementations
+
diff --git a/content/resources/getting-started/ecosystem.md b/content/resources/getting-started/ecosystem.md
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+---
+title: Understanding and implementing the ReproNIM ecosystem
+linkTitle: Ecosystem
+type: docs
+weight: 10
+---
+
+
diff --git a/content/resources/getting-started/implementation.md b/content/resources/getting-started/implementation.md
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+++ b/content/resources/getting-started/implementation.md
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+---
+title: Basic implementations
+linkTitle: Implementations
+type: docs
+weight: 5
+---
+
+## Use Cases
+
+1. Where can I get training on reproducible practices? (DBK)
+1. How can I get my scanning data from the collection instrument to a form where it is easier to analyze and share? (DBK)
+1. How can I simplify  the process of updating and re-applying workflows when changes are necessary? (DNK)
+
diff --git a/content/resources/guide/_index.md b/content/resources/guide/_index.md
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+---
+title: ReproNIM Guide
+type: resources
+---
+
+This is a demo of the theme's documentation layout.
+
+## Hello, World!
+
+```go {filename="main.go"}
+package main
+
+import "fmt"
+
+func main() {
+    fmt.Println("Hello, World!")
+}
+```