# Data Registry
URL: https://docs.datarobot.com/en/docs/workbench/nxt-workbench/dataprep/add-data/data-registry.html

> The Data Registry lists all static and snapshot datasets you currently have access to in the AI Catalog, including those uploaded from local files and data connections in Workbench.

# Data Registry

When you open the Browse data modal, DataRobot displays the Data Registry, a central catalog for your datasets that lists all static, snapshot, and dynamic datasets currently in the [Data tile in Registry](https://docs.datarobot.com/en/docs/workbench/nxt-registry/nxt-data-registry/index.html) —this includes data that has been added directly to the Data Registry or added to a Use Case, which is then registered in the Data Registry.

When you add a dataset from the registry, you're creating a link from the Use Case to the source of that dataset, meaning datasets can have a one-to-many relationship with Use Cases. When a dataset is removed, you're only removing the link; any experiments created from the dataset will not be affected.

See the associated [considerations](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/dataprep/data-faq/index.html#add-data) for important additional information.

## Add a dataset

You can add any datasets that have been previously registered in DataRobot.

To add a dataset:

1. In theData Registry, select the box to the left of the dataset you want to view.
2. (Optional)Preview the datasetto determine if the dataset is appropriate for the objective of your Use Case.
3. ClickAdd to Use Casein the upper-right corner. Workbench opens to theData assetstile of your Use Case.

## Preview a dataset

Viewing a snapshot preview allows you to confirm that a dataset is appropriate for your Use Case before adding it.

To preview a dataset:

1. In theData Registry, click on an asset to open a preview.
2. Analyze the dataset using theFeaturesandData previewbuttons: FeaturesData previewLists the feature name, type, number of unique values, and number of missing values for each feature in the dataset.Displays a random sample, up to 1MB, of the raw data table.
3. Determine if the dataset suits your Use Case, and then either:

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