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Update how-to-share-data-across-workspaces-with-registries.md
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articles/machine-learning/how-to-share-data-across-workspaces-with-registries.md

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title: Share data across workspaces with registries (preview)
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title: Share data across workspaces with registries
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titleSuffix: Azure Machine Learning
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description: Learn how practice cross-workspace MLOps and collaborate across teams by sharing data through registries.
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services: machine-learning
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ms.custom: devx-track-azurecli, sdkv2, build-2023
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# Share data across workspaces with registries (preview)
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# Share data across workspaces with registries
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Azure Machine Learning registry enables you to collaborate across workspaces within your organization. Using registries, you can share models, components, environments, and data. Sharing data with registries is currently a preview feature. In this article, you learn how to:
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Azure Machine Learning registry enables you to collaborate across workspaces within your organization. Using registries, you can share models, components, environments, and data. In this article, you learn how to:
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* Create a data asset in the registry.
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* Share an existing data asset from workspace to registry
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* Use the data asset from registry as input to a model training job in a workspace.
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[!INCLUDE [machine-learning-preview-generic-disclaimer](includes/machine-learning-preview-generic-disclaimer.md)]
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### Key scenario addressed by data sharing using Azure Machine Learning registry
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You might want to have data shared across multiple teams, projects, or workspaces in a central location. Such data doesn't have sensitive access controls and can be broadly used in the organization.

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