# Data Projects

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A **Data Project** in **Gaio DataOS** is an isolated and structured environment where all your data-related activities take place — from ingestion to advanced analytics.

### &#x20;Key Characteristics

* **Modular Workspace**:\
  Each project serves as a dedicated workspace where you can:
  * Connect to various **data sources**
  * Build **data preparation flows**
  * Design and share **dashboards**
  * Set up **automations**
  * Train and deploy **machine learning models**
* **Isolated Data Bucket**:\
  Every Data Project generates its own **data bucket**, ensuring that datasets, assets, and transformations are completely separated from other projects.
* **Access Control**:\
  Permissions are managed through **user roles** and **group-based access rules**, providing full control over who can view, edit, or manage each project component.

### Use Cases

* Creating custom analytics environments for different teams or clients
* Separating test, staging, and production pipelines
* Managing access to sensitive data with role-based control
* Deploying machine learning workflows in a self-contained, governed context

## Creating a New Data Project

The **New Project** screen allows you to configure a dedicated environment to organize your data, analysis, and visualizations within Gaio DataOS.

### Step-by-Step Instructions

1. **Click on** `+ Create new project` located in the upper right corner of the project dashboard.
2. The **New Project** window will appear with the following fields:
   * **Name** (required):\
     Enter the name of your project. This will be the display title in your project list.
   * **Description** (optional):\
     Provide a brief summary of the project's purpose or contents.
   * **Repository**:\
     Select the data repository where your assets will be stored. Default is set to `Default`.
   * **Creator**:\
     This field is automatically populated with your user or team name (e.g., *Gaio Documentation*).
   * **Color**:\
     Choose a highlight color to visually identify the project (e.g., `Orange`).
   * **Icon**:\
     Pick an icon that represents the project context (e.g., 📅 calendar icon).
   * **AI** (optional):\
     Select the AI engine (e.g., `OpenAI`) to power intelligent features inside the project.\
     Optionally, enable the checkbox `Disable AI in reports for final users on the dashboard` to prevent AI suggestions in end-user dashboards.
3. **Click** `Save` to create the project or `Cancel` to exit without saving.