# Data inventory and publishing
<a name="data-publishing"></a>

This section describes the tasks and procedures to create an inventory of your data in Amazon SageMaker Unified Studio and to publish your data in Amazon SageMaker Unified Studio.

To use Amazon SageMaker Unified Studio to catalog your data, you must first bring your data (assets) as inventory of your project in Amazon SageMaker Unified Studio. Creating an inventory for a particular project makes the assets discoverable only to that project’s members. Project inventory assets are not available to all domain users in search or browse unless it is published to the Amazon SageMaker Catalog. After creating a project inventory, data owners can curate their inventory assets with the required business metadata by adding or updating business names (asset and schema), descriptions (asset and schema), README, glossary terms (asset and schema), and metadata forms. 

The next step of using Amazon SageMaker Unified Studio to catalog your data is to make your project’s inventory assets discoverable by the domain users. You can do this by publishing the inventory assets to the Amazon SageMaker Unified Studio catalog. Only the latest version of the inventory asset can be published to the catalog and only the latest published version is active in the discovery catalog. If an inventory asset is updated after it's been published into the Amazon SageMaker Unified Studio catalog, you must publish it again for the latest version to be in the discovery catalog. 

For more information, see [Amazon SageMaker Unified Studio terminology and concepts](concepts.md)

**Topics**
+ [Configure Lake Formation permissions for Amazon SageMaker Unified Studio](lake-formation-permissions-for-amazon-sagemaker-unified-studio.md)
+ [Create custom asset types in Amazon SageMaker Unified Studio](create-asset-types.md)
+ [Create an Amazon SageMaker Unified Studio data source for AWS Glue in the project catalog](data-source-glue.md)
+ [Create an Amazon SageMaker Unified Studio data source for Amazon Redshift in the project catalog](create-redshift-data-source.md)
+ [Create an Amazon SageMaker Unified Studio data source for Amazon SageMaker AI in the project catalog](create-sagemaker-data-source.md)
+ [Edit a data source in Amazon SageMaker Unified Studio](editing-a-data-source.md)
+ [Delete a data source in Amazon SageMaker Unified Studio](removing-a-data-source.md)
+ [Publish assets to the Amazon SageMaker Unified Studio catalog from the project inventory](publishing-data-asset.md)
+ [Share assets](share-assets.md)
+ [Manage inventory and curate assets in Amazon SageMaker Unified Studio](update-metadata.md)
+ [Manually create an asset in Amazon SageMaker Unified Studio](create-data-asset-manually.md)
+ [Unpublish an asset from the Amazon SageMaker Catalog](archive-data-asset.md)
+ [Delete an Amazon SageMaker Unified Studio asset](delete-data-asset.md)
+ [Manually start a data source run in Amazon SageMaker Unified Studio](manually-start-data-source-run.md)
+ [Asset revisions in Amazon SageMaker Unified Studio](asset-versioning.md)
+ [Data quality in Amazon SageMaker Unified Studio](data-quality.md)
+ [Using machine learning and generative AI in Amazon SageMaker Unified Studio](autodoc.md)
+ [Data lineage in Amazon SageMaker Unified Studio](datazone-data-lineage.md)
+ [Analyze Amazon SageMaker Unified Studio data with external analytics applications via JDBC connection](query-with-jdbc.md)
+ [Metadata enforcement rules for publishing](metadata-rules-publishing.md)