# Archival and deletion

As a dataset's license or usage patterns change, it might become necessary for the dataset owner to reduce the scope and availability of data or remove the dataset from Redivis.

## Archival

Archived datasets have been paused from usage. They will still be discoverable and subject to all access restrictions, and contain all the same metadata, but any data stored in the dataset will be unavailable for viewing, querying, or exporting.

You can identify an archived dataset by the grey pill next to the dataset title stating **Archived**.

If you've been using a dataset in a workflow that becomes archived, all derivative tables containing the dataset's data will also become [archived](https://docs.redivis.com/reference/workflows/archival-and-deletion), and you will not be able to run downstream transforms or notebooks.

Datasets can be unarchived at any time by the dataset owner. Once unarchived, the data can be utilized as usual and any archived workflow tables can be rematerialized. 

## Deletion

Deleted datasets have been removed from Redivis. The data has been permanently deleted and they will not be discoverable on Redivis or accepting access applications. 

To preserve linkages and citations, there will still be a dataset page with basic historic metadata about the dataset that you can see when you navigate directly to the dataset URL. 

If you've been using a dataset in a workflow that gets deleted, all derivative tables containing the dataset's data will become [archived](https://docs.redivis.com/reference/workflows/archival-and-deletion) and you will not be able to run transforms or notebooks. Since the data is permanently deleted, these tables will not be recoverable.

*For editors:* [*How to manage the dataset lifecycle*](https://docs.redivis.com/reference/datasets/create-and-edit-datasets/dataset-lifecycle)