> For the complete documentation index, see [llms.txt](https://docs.redivis.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.redivis.com/guides/discover-and-access-data/discover-datasets.md).

# Discover datasets

Datasets are the core entity on Redivis and finding datasets you want to work with is generally one of your first steps.

## 1. Find a dataset

You can discover datasets in many contexts.

If you are part of an institution or an organization you can browse for datasets they've uploaded on the **Datasets** tab of their home pages.

You can also look for datasets directly on the Redivis [Explore](https://redivis.com/explore) page. This will show all datasets on Redivis that you have overview access to. If you expect to see a dataset here that isn't appearing, you may need to log into your account or ask the dataset owner to share the dataset with you.

## 2. Search for data

When searching for data on an organization page, institution page, or the Redivis explore page, you can use filters along with search terms to find what you'd like. All searches take a comprehensive look at information from the dataset documentation as well as variable metadata, including value labels.

<div data-with-frame="true"><img src="https://1672950126-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LVodLwUXgJUGcm5Cvso%2Fuploads%2F0cqQcqssysjFyK9J1Ibu%2Fredivis.com_Demo_datasets.png?alt=media&amp;token=4c1a45ec-eb6b-4107-a5ac-a716662b1fbc" alt=""></div>

You can also use the filters to find specific information you're looking for. If you know the name of the variable or year of the data you're interested in, narrow your search here.

## 3. Preview tables

Each dataset appearing here matches all search and filter configurations. You can select the dataset tile to see more information, including a preview of all of the tables this dataset contains.

Choose any of these tables to dig into it further. As long as you have metadata access, you can see the variable information and summary statistics.

<div data-with-frame="true"><img src="https://1672950126-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LVodLwUXgJUGcm5Cvso%2Fuploads%2FN8FuTnnyXtA2QNWpvJa7%2Fredivis.com_datasets_7br5-41440fjzk_tables.png?alt=media&amp;token=35c99fc6-8681-46f6-8a63-57b5786dfb9c" alt=""></div>

Once you find a dataset you want to explore further, select the title to go to the dataset page.

## 4. Explore the dataset page

This dataset page has all of the information you'll need to familiarize yourself with the data and get started working with it further. Add this dataset to your dataset library to easily find it later on by selecting the bookmark button alongside the dataset title.

<div data-with-frame="true"><img src="https://1672950126-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-LVodLwUXgJUGcm5Cvso%2Fuploads%2FFO3iEYNF8JEavJelvvoU%2Fredivis.com_workflows_x7kh-5pvd4mbf1_dataSources_f3st-1yxmt4nsf%20(1).png?alt=media&amp;token=e33d9768-d956-49af-ba3d-6b5d46d894b3" alt=""></div>

**Overview**

This tab has a short summary of the dataset along with different sections filled out by the administrators such as the Methodology, Documentation, and Provenance information. This Provenance section will also have citation information and a DOI if one has been created. You can see your current access level on the right side of the page.

**Tables**

This tab contains all of the dataset's tabular data. You can see each table alongside information about its contents. Choose one to dig deeper into the data.

**Files**

This tab contains all of the dataset's unstructured data. You can preview each file by selecting it.

**Usage**

This tab has information about how other people have used this dataset on Redivis. You can see the most popular variables across all tables to get a sense for which ones might be a good starting place for understanding the structure of the data.

## Next steps

#### Apply for access to restricted data

If you don't have data access to this dataset, you'll need to apply for access before you can work with it further.

*Learn more in the* [*Apply to access restricted data*](/guides/discover-and-access-data/apply-to-access-restricted-data.md) *guide.*

#### Start working with your data

Add this dataset to a workflow to transform and analyze it leveraging lightning fast tools from your browser.

*Learn more in the* [*Work with data in a workflow*](/guides/analyze-data-in-a-workflow.md) *guide.*


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.redivis.com/guides/discover-and-access-data/discover-datasets.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
