diff --git a/jupyterbook/_toc.yml b/jupyterbook/_toc.yml
index 95565425..462e4128 100644
--- a/jupyterbook/_toc.yml
+++ b/jupyterbook/_toc.yml
@@ -2,6 +2,11 @@ format: jb-book
 root: content/intro.md
 title: The IOOS Data Demo Center
 parts:
+  - caption: Getting Started
+    chapters:
+      - file: content/ioos_installation_conda.md
+        title: Installing the IOOS Conda Environment
+
   - caption: Code Gallery
     chapters:
       - file: content/code_gallery/data_access.md
@@ -22,8 +27,6 @@ parts:
 
   - caption: Other Resources
     chapters:
-      - file: content/ioos_installation_conda.md
-        title: Installing the IOOS Conda Environment
       - url: https://help.aodn.org.au/aodn-data-tools/user-code-library/
         title: Opening netCDF files - hints from AODN
       - url: http://unidata.github.io/notebook-gallery/
diff --git a/jupyterbook/content/code_gallery/data_access.md b/jupyterbook/content/code_gallery/data_access.md
index 7f6dbd97..117ff260 100644
--- a/jupyterbook/content/code_gallery/data_access.md
+++ b/jupyterbook/content/code_gallery/data_access.md
@@ -1,3 +1,23 @@
 # Data Access
 
-This chapter will consist of all the notebooks pertaining to data access
+IOOS data comes from a variety of technologies or data collection systems. While types of data available through any
+one of our 11 regional associations may vary depending on the local area, the national IOOS data products include data
+collected from buoys, high frequency radar systems and gliders. Modeling teams across regional associations also create
+data products including physical and environmental models of coastal systems.
+
+IOOS data can be accessed through a variety of access services and tools through IOOS interactive maps, Data Assembly
+Centers (DACs), and individual Regional Association portals. This chapter provides examples of the various data access
+services (SOS, THREDDS, ERDDAP, etc) and tools for scientists and managers looking to access data using various programing languages (Python,
+Matlab, R, etc).
+
+For more information on accessing IOOS data, see <https://ioos.noaa.gov/data/access-ioos-data/>.
+
+---
+
+## Chapter table of contents
+
+```{tableofcontents}
+
+```
+
+---
diff --git a/jupyterbook/content/code_gallery/data_analysis_and_visualization.md b/jupyterbook/content/code_gallery/data_analysis_and_visualization.md
index fd0a6c46..8b45b09c 100644
--- a/jupyterbook/content/code_gallery/data_analysis_and_visualization.md
+++ b/jupyterbook/content/code_gallery/data_analysis_and_visualization.md
@@ -1,3 +1,13 @@
 # Data Analysis And Visualization
 
 This chapter will consist of notebooks pertaining to data analysis.
+
+---
+
+## Chapter table of contents
+
+```{tableofcontents}
+
+```
+
+---
diff --git a/jupyterbook/content/code_gallery/data_management.md b/jupyterbook/content/code_gallery/data_management.md
index 54982f2a..d1127d08 100644
--- a/jupyterbook/content/code_gallery/data_management.md
+++ b/jupyterbook/content/code_gallery/data_management.md
@@ -1,3 +1,15 @@
 # Data Management
 
-This chapter will contain all the notebooks pertaining to Data Management
+Data management is an increasingly important aspect of IOOS activities. In this chapter you will find examples of how
+to use various tools to ensure compliance with existing standards and conventions. For more details on IOOS
+recommendations on data standards, see <https://ioos.noaa.gov/data/data-standards/>.
+
+---
+
+## Chapter table of contents
+
+```{tableofcontents}
+
+```
+
+---
diff --git a/jupyterbook/content/code_gallery/data_management_notebooks/2020-12-08-DataToDwC.ipynb b/jupyterbook/content/code_gallery/data_management_notebooks/2020-12-08-DataToDwC.ipynb
index cadff0ed..ccb76f40 100644
--- a/jupyterbook/content/code_gallery/data_management_notebooks/2020-12-08-DataToDwC.ipynb
+++ b/jupyterbook/content/code_gallery/data_management_notebooks/2020-12-08-DataToDwC.ipynb
@@ -260,7 +260,7 @@
     "id": "HRAnbhZgW4Qk"
    },
    "source": [
-    "# Event file"
+    "## Event file"
    ]
   },
   {
@@ -546,7 +546,7 @@
     "id": "-aHsrOUhW4Qo"
    },
    "source": [
-    "# Occurrence file\n",
+    "## Occurrence file\n",
     "More information on the **occurrence** category in Darwin Core can be found at [https://dwc.tdwg.org/terms/#occurrence](https://dwc.tdwg.org/terms/#occurrence).\n",
     "\n",
     "For creating the **occurrence** file, we start by creating the DataFrame and renaming the fields that align directly with Darwin Core. Then, we'll add the required information that is missing."
@@ -571,7 +571,7 @@
     "id": "CzjlzVcYW4Qo"
    },
    "source": [
-    "## Taxonomic Name Matching\n",
+    "### Taxonomic Name Matching\n",
     "A requirement for [OBIS](https://obis.org/) is that all scientific names match to the [World Register of\n",
     "Marine Species (WoRMS)](http://www.marinespecies.org/) and a `scientificNameID` is included. A `scientificNameID` looks\n",
     "like this `urn:lsid:marinespecies.org:taxname:275730` with the last digits after\n",
@@ -1159,7 +1159,7 @@
     "id": "dUufvx_uW4Qr"
    },
    "source": [
-    "# Extended Measurement Or Fact (eMoF)\n",
+    "## Extended Measurement Or Fact (eMoF)\n",
     "The last file we need to create is the **extended measurement or fact (eMoF)** file. The measurement or fact includes measurements/facts about the event (temp, salinity, etc) as well as about the occurrence (percent cover, abundance, weight, length, etc). They are linked to the events using `eventID` and to the occurrences using `occurrenceID`. [Extended Measurements Or Facts](https://tools.gbif.org/dwca-validator/extension.do?id=http://rs.iobis.org/obis/terms/ExtendedMeasurementOrFact) are any other generic observations that are associated with resources that are described using Darwin Core (eg. water temperature observations). See the [DwC implementation guide](https://dwc.tdwg.org/rdf/#2-implementation-guide) for more information.\n",
     "\n",
     "For the various `TypeID` fields (eg. `measurementTypeID`) include URI's from the [BODC NERC vocabulary](https://www.bodc.ac.uk/resources/vocabularies/vocabulary_search/) or other *nearly permanent* source, where possible. For example, [water temperature](http://vocab.nerc.ac.uk/collection/P25/current/WTEMP/) in the BODC NERC vocabulary, the URI is `http://vocab.nerc.ac.uk/collection/P25/current/WTEMP/`.\n",
@@ -1501,7 +1501,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.6"
+   "version": "3.9.10"
   }
  },
  "nbformat": 4,