> ## Documentation Index
> Fetch the complete documentation index at: https://help.voxdash.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Audit Trail

> In addition to standard usage reports, Voxdash provides a comprehensive Audit Trail feature that allows administrators to monitor detailed activity for each…

In addition to standard usage reports, Voxdash provides a comprehensive **Audit Trail** feature that allows administrators to monitor detailed activity for each dataset. This feature is especially useful for tracking changes, understanding user interactions, and maintaining accountability across your data assets.

## Accessing the Audit Trail

To view the Audit Trail for a dataset:

1. Navigate to the **Data Provider** section of the platform.
2. Open the **File Manager** tab.
3. Locate the dataset you want to review.
4. Click on the **menu (⋮)** next to the dataset.
5. Select **Audit Trail** from the dropdown options.

This will take you to the Audit Trail page for the selected dataset.

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## What Information is Available?

The Audit Trail provides a detailed, date-based log of activities associated with each dataset. The following types of information are included:

* **Public Access Changes**
  Track when a dataset’s visibility has been modified (e.g., made public or restricted).

* **Page View Reports**
  Monitor how often the dataset has been viewed, helping you understand engagement and usage trends.

All records are timestamped, allowing you to trace activity over specific periods.

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  <img src="https://mintcdn.com/voxdash/550kOiV1IvfnbtVA/images/audit-trail.png?fit=max&auto=format&n=550kOiV1IvfnbtVA&q=85&s=195fab276ba5265deee47936c8117b01" alt="audit Trail" style={{ borderRadius: '0.5rem' }} width="1828" height="958" data-path="images/audit-trail.png" />
</Frame>

## Using Filters

The Audit Trail includes a filtering system to help you quickly locate relevant records. Administrators can refine the displayed data using the following filters:

* **Created Date**
  Filter records based on when the activity occurred.

* **Action Type**
  Filter by specific types of actions performed on the dataset. Available actions include:

  * **Indexed Change** – Indicates updates to the dataset’s indexing status.
  * **Downloadable Change** – Tracks changes to whether the dataset can be downloaded.
  * **Viewed** – Records when the dataset has been accessed or viewed by users.

Using these filters, you can efficiently analyze dataset activity and focus on the most relevant events.