CancerDataAggregator · ACharbonneau · Apr 9, 2026 · Apr 9, 2026 · Apr 10, 2026 · Apr 10, 2026
diff --git a/docs/getting_started/index.md b/docs/getting_started/index.md
@@ -2,78 +2,106 @@
 title:  Re-Search made simple
 ---
 
-<div class="center" markdown> <p>With CDA you search by harmonized, common language terms. Using simple language you can get information about the subjects, files, or specimens that you care about in a standard dataframe format (tsv) that you can open in Excel, integrate into a pipeline or upload to your favorite cloud resource.</p></div>
+# Search cancer data across multiple NCI data commons—instantly
 
+Cancer data is distributed across multiple systems—CDA brings it together.
 
-<div class="grid cards" markdown>
+Find subjects, files, and studies using harmonized terms across repositories. No coding required.
 
--   :material-clock-fast:{ .lg .middle } __Don't code? No problem!__
+```{admonition} 
+:class: important
 
-    ---
+👉 **[Start exploring data](interactive.html)**  
+Try interactive search or view the API docs.
+<div style="margin-top: 1em; margin-bottom: 2em;">
+  <a href="interactive.html"><strong>👉 Start exploring data</strong></a><br>
+  <a href="interactive.html">Try interactive search</a> ·
+  <a href="api.html">View API docs</a>
+</div>
+```
+
+---
+
+## 🔎 Find what you need—your way
+
+### 🔍 Explore (No coding)
+Search and filter cancer datasets in a visual interface  
+👉 [Open interactive search](interactive.html)
+
+---
+
+### 📓 Analyze (Low code)
+Run queries and explore results in a ready-to-use notebook  
+👉 [Launch notebook in the cloud](notebooks.html)
 
-    Browse through a curated dataset of all subjects that have data at multiple data centers using an intuitive filtering tool right in this website. 
-<a href="../interactive/" title="interactive search" class="md-button md-button">Head to our interactive page to try it out.
-</a></p>
+---
 
--   :material-clock-fast:{ .lg .middle } __Low code, no install__
+### ⚙️ Build (API)
+Integrate CDA into pipelines and applications  
+👉 [View API documentation](api.html)
 
-    ---
+---
 
-    Fill in the blanks in our pre-built queries to find the data you need without installing a thing. <p>Send your results to [Broad Institute FireCloud:octicons-link-external-16:](https://datacommons.cancer.gov/analytical-resource/broad-institute-firecloud){:target="_blank"} or [Velsera Cancer Genomics Cloud:octicons-link-external-16:](https://www.cancergenomicscloud.org/){:target="_blank"} for a complete cloud experience. Find the data you need, fetch all the files, and run your favorite bioinformatics pipeline *all without ever leaving your web browser.*<p>
-<a href="https://colab.research.google.com/github/CancerDataAggregator/Community-Notebooks/blob/main/Tutorials/Welcome.ipynb" title="Try it now" class="md-button md-button">Launch CDA in the cloud
-</a></p>
+## 🖥️ See it in action
 
--   :fontawesome-brands-python:{ .lg .middle } __Power users__
+Search across datasets with one query:
 
-    ---
+- Filter by disease type, demographics, or study  
+- View harmonized results across repositories  
+- Export data for downstream analysis  
 
-    Install `cdapython` with `pip` and get up
-    and running in no time
+👉 **Try a sample search:**  
+[Find adenocarcinoma subjects across datasets](interactive.html)
 
-    ```bash
-    pip3 uninstall -y cdapython; pip3 install git+https://github.com/CancerDataAggregator/cdapython.git@develop
-    python3
-    ```
+---
 
-    ```python
-    from cdapython import *
-    ```
+## 💡 Why use CDA?
 
--   :fontawesome-brands-python:{ .lg .middle } __Code in the Cloud__
+CDA removes the hardest parts of finding cancer data:
 
-    ---
+- 🔗 **Search multiple data commons at once**  
+  No need to query each repository separately  
 
-    Bring lists of files or subjects found with CDA to the [ISB Cancer Gateway in the Cloud (ISB-CGC):octicons-link-external-16:](https://isb-cgc.org/){:target="_blank"} to instantly access both associated derived data and raw files, for use in cloud processing pipelines -- either in your own preferred environment or using ISB-CGC's free Google Cloud Platform credits program.
-    <a href="https://colab.research.google.com/github/CancerDataAggregator/Community-Notebooks/blob/main/Tutorials/010_isbcgc.ipynb" title="isbcgcusecase" class="md-button md-button">Test it out on Google Colab
-</a></p>
+- 🧠 **Harmonized data model**  
+  Use consistent terms across datasets  
 
--   :simple-swagger:{ .lg .middle } __Developers__
+- ⚡ **From exploration to analysis quickly**  
+  Move from search → notebook → pipeline  
 
-    ---
+- 🧪 **Flexible for all users**  
+  Works for researchers, analysts, and developers  
 
-    Are you building a metadata microservice? Connecting even more databases? Hosting a computational resource? <p>Whatever your use case, CDA can help.
+---
 
-    [:octicons-arrow-right-24:**API documentation**](../documentation/developers/index.md)
+## 🧭 What you can find
 
--   :material-bell-alert-outline:{ .lg .middle } __What's new?__
+Use CDA to discover:
 
-    ---
+- Subjects across studies  
+- Clinical and genomic data files  
+- Metadata across CRDC repositories  
+- Cohorts matching specific criteria  
 
-    Recently Updated Pages:
+---
 
-    - [Data Release](../release_notes/data_updates.md)
-    - [Code Release](../release_notes/cdapython.md)
+## 🚀 Start in 10 seconds
 
--   :simple-mysql:{ .lg .middle } __Need even more data?__
+Not sure where to begin?
 
-    ---
+👉 [Open interactive search with a pre-built example](interactive.html)  
+Explore adenocarcinoma datasets across repositories.
 
-    Do you dream of having a CDA database instance of your very own? Or CDA but bigger somehow?
-    We can make those dreams come true. Let's chat!
+---
 
-    :material-email: cancerdataaggregator `@` gmail
+## 📚 Learn more
 
+- [About CDA](about_us.html)  
+- [Data model](data_model.html)  
+- [Tutorials](tutorials.html)  
+- [API reference](api.html)
 
+---
 
-</div>
+## 🔬 Developed by
 
+The National Cancer Institute’s Cancer Research Data Commons (CRDC)
diff --git a/docs/index.md b/docs/index.md
@@ -1,79 +1,100 @@
 ---
 title:  Re-Search made simple
 ---
+# Search cancer data across multiple NCI data commons—instantly
 
-<div class="center" markdown> <p>With CDA you search by harmonized, common language terms. Using simple language you can get information about the subjects, files, or specimens that you care about in a standard dataframe format (tsv) that you can open in Excel, integrate into a pipeline or upload to your favorite cloud resource.</p></div>
+Cancer data is distributed across multiple systems—CDA brings it together.
 
+Find subjects, files, and studies using harmonized terms across repositories. No coding required.
 
-<div class="grid cards" markdown>
+<div style="margin-top: 1em; margin-bottom: 2em;">
+  <a href="interactive.html"><strong>👉 Start exploring data</strong></a><br>
+  <a href="interactive.html">Try interactive search</a> ·
+  <a href="api.html">View API docs</a>
+</div>
+
+---
 
--   :material-clock-fast:{ .lg .middle } __Don't code? No problem!__
+## 🔎 Find what you need—your way
 
-    ---
+### 🔍 Explore (No coding)
+Search and filter cancer datasets in a visual interface  
+👉 [Open interactive search](interactive.html)
 
-    Browse through a curated dataset of all subjects that have data at multiple data centers using an intuitive filtering tool right in this website. 
-<a href="interactive/" title="interactive search" class="md-button md-button">Head to our interactive page to try it out.
-</a></p>
+---
+
+### 📓 Analyze (Low code)
+Run queries and explore results in a ready-to-use notebook  
+👉 [Launch notebook in the cloud](notebooks.html)
+
+---
 
--   :material-clock-fast:{ .lg .middle } __Low code, no install__
+### ⚙️ Build (API)
+Integrate CDA into pipelines and applications  
+👉 [View API documentation](api.html)
 
-    ---
+---
 
-    Fill in the blanks in our pre-built queries to find the data you need without installing a thing. <p>Send your results to [Broad Institute FireCloud:octicons-link-external-16:](https://datacommons.cancer.gov/analytical-resource/broad-institute-firecloud){:target="_blank"} or [Velsera Cancer Genomics Cloud:octicons-link-external-16:](https://www.cancergenomicscloud.org/){:target="_blank"} for a complete cloud experience. Find the data you need, fetch all the files, and run your favorite bioinformatics pipeline *all without ever leaving your web browser.*<p>
-<a href="https://colab.research.google.com/github/CancerDataAggregator/Community-Notebooks/blob/main/Tutorials/Welcome.ipynb" title="Try it now" class="md-button md-button">Launch CDA in the cloud
-</a></p>
+## 🖥️ See it in action
 
--   :fontawesome-brands-python:{ .lg .middle } __Power users__
+Search across datasets with one query:
 
-    ---
+- Filter by disease type, demographics, or study  
+- View harmonized results across repositories  
+- Export data for downstream analysis  
 
-    Install `cdapython` with `pip` and get up
-    and running in no time
+👉 **Try a sample search:**  
+[Find adenocarcinoma subjects across datasets](interactive.html)
 
-    ```bash
-    pip3 uninstall -y cdapython; pip3 install git+https://github.com/CancerDataAggregator/cdapython.git@develop
-    python3
-    ```
+---
 
-    ```python
-    from cdapython import *
-    ```
+## 💡 Why use CDA?
 
--   :fontawesome-brands-python:{ .lg .middle } __Code in the Cloud__
+CDA removes the hardest parts of finding cancer data:
 
-    ---
+- 🔗 **Search multiple data commons at once**  
+  No need to query each repository separately  
 
-    Bring lists of files or subjects found with CDA to the [ISB Cancer Gateway in the Cloud (ISB-CGC):octicons-link-external-16:](https://isb-cgc.org/){:target="_blank"} to instantly access both associated derived data and raw files, for use in cloud processing pipelines -- either in your own preferred environment or using ISB-CGC's free Google Cloud Platform credits program.
-    <a href="https://colab.research.google.com/github/CancerDataAggregator/Community-Notebooks/blob/main/Tutorials/010_isbcgc.ipynb" title="isbcgcusecase" class="md-button md-button">Test it out on Google Colab
-</a></p>
+- 🧠 **Harmonized data model**  
+  Use consistent terms across datasets  
 
--   :simple-swagger:{ .lg .middle } __Developers__
+- ⚡ **From exploration to analysis quickly**  
+  Move from search → notebook → pipeline  
 
-    ---
+- 🧪 **Flexible for all users**  
+  Works for researchers, analysts, and developers  
 
-    Are you building a metadata microservice? Connecting even more databases? Hosting a computational resource? <p>Whatever your use case, CDA can help.
+---
 
-    [:octicons-arrow-right-24:**API documentation**](documentation/developers/)
+## 🧭 What you can find
 
--   :material-bell-alert-outline:{ .lg .middle } __What's new?__
+Use CDA to discover:
 
-    ---
+- Subjects across studies  
+- Clinical and genomic data files  
+- Metadata across CRDC repositories  
+- Cohorts matching specific criteria  
 
-    Recently Updated Pages:
+---
 
-    - [Data Release](release_notes/data_updates.md)
-    - [Code Release](release_notes/cdapython.md)
+## 🚀 Start in 10 seconds
 
--   :simple-mysql:{ .lg .middle } __Need even more data?__
+Not sure where to begin?
 
-    ---
+👉 [Open interactive search with a pre-built example](interactive.html)  
+Explore adenocarcinoma datasets across repositories.
 
-    Do you dream of having a CDA database instance of your very own? Or CDA but bigger somehow?
-    We can make those dreams come true. Let's chat!
+---
 
-    :material-email: cancerdataaggregator `@` gmail
+## 📚 Learn more
 
+- [About CDA](about_us.html)  
+- [Data model](data_model.html)  
+- [Tutorials](tutorials.html)  
+- [API reference](api.html)
 
+---
 
-</div>
+## 🔬 Developed by
 
+The National Cancer Institute’s Cancer Research Data Commons (CRDC)
diff --git a/docs/interactive/google.html b/docs/interactive/google.html
@@ -0,0 +1,24 @@
+<input id="searchBox" placeholder="Search cancer data (e.g. lung cancer)" />
+<button onclick="searchCDA()">Search</button>
+
+<pre id="results"></pre>
+
+<script>
+async function searchCDA() {
+  const query = document.getElementById("searchBox").value;
+
+  const response = await fetch("https://cda-dev.datacommons.cancer.gov/summary/subject", {
+    method: "POST",
+    headers: {
+      "Content-Type": "application/json"
+    },
+    body: JSON.stringify({
+      SEARCH_LIST: [query]
+    })
+  });
+
+  const data = await response.json();
+  document.getElementById("results").textContent =
+    JSON.stringify(data, null, 2);
+}
+</script>
diff --git a/mkdocs.yml b/mkdocs.yml
@@ -44,7 +44,7 @@ plugins:
           remove_input_tags:
               - hide_code
       include_source: True
-      execute: True
+      execute: False
       allow_errors: False
       ignore: ["documentation/cdapython/vignettes/005_TCIA.ipynb"]
 
@@ -93,6 +93,7 @@ extra_css:
 nav:
   - Getting Started:
     - getting_started/index.md
+    - google search: interactive/google.html
     - Interactive Search: interactive/index.ipynb
     - getting_started/no-install.md
     - getting_started/install.md