> For the complete documentation index, see [llms.txt](https://giantgrey.gitbook.io/databrain/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://giantgrey.gitbook.io/databrain/guides/add-data-objects.md).
# Add data objects
To add new custom data to Databrain, simply follow these steps.
1. Create a new class (for example EnemyData) with some fields and derive from DataObject.
using Databrain;
public class EnemyData : DataObject
{
public int health;
public float strength;
}
2. Save the file and wait for compilation.
3. Create a new DataLibrary object in your project. Right click in the project view and select: **Create / Databrain / Data Library**
4. Open the DataLibrary. You can now find your newly created EnemyData type in the global namespace category.
5. Select the EnemyData type and click on create.
## Categorization and more
You can categorize data types by namespace, data types and derived types. For example, following code:
```csharp
using Databrain;
namespace Enemies
{
public class EnemyData : DataObject
{
public int health;
public float strength;
}
}
```
Sub type:
```csharp
using Databrain;
namespace Enemies
{
// Derived from EnemyData
public class Orc : EnemyData
{
// Orc specific fields
}
}
```
Results in this:
You can also define a color and icon for your data types. Please read the attributes section for more information:
{% content-ref url="/pages/FUlL8LuKamUKvad0mEcV" %}
[DataObject attributes](/databrain/attributes/dataobject-attributes.md)
{% endcontent-ref %}
