# Introduction

## What is Redivis?

[Redivis](https://redivis.com) is an online data platform for research. 

Redivis offers data distributors – from research centers and institutions to labs and individual investigators – the tools to securely host and distribute data in alignment with [FAIR data practices](https://docs.redivis.com/redivis-for-open-science/fair-data-practices).

Redivis provides researchers the means to easily discover, access, and analyze data in a collaborative and reproducible manner. 

Whether you are working with terabytes of high-risk data or lightweight public data files, Redivis endeavors to make data-driven research accessible to all.

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Interested in bringing your organization on to Redivis? [Contact us!](https://forms.monday.com/forms/12417d2dbc78c5358dc9aafcbbccf426)
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{% embed url="<https://www.youtube.com/watch?ab_channel=Redivis&v=1osgC58eZaU>" %}

## Who uses Redivis?

[Research institutions](https://docs.redivis.com/reference/institutions) provide a unified discovery and administrative layer for their organizations' data across Redivis.

[Research organizations](https://docs.redivis.com/reference/organizations) upload, catalogue, and grant access to datasets.

[Researchers](https://docs.redivis.com/reference/your-account) upload their own datasets, discover existing data, and execute flexible, high-performance analytic workflows in a collaborative and reproducible manner.

**Redivis makes it easy for everyone to:**

* [Discover datasets](https://docs.redivis.com/guides/getting-started)
* [Apply for access](https://docs.redivis.com/guides/discover-and-access-data/apply-to-access-restricted-data)
* [Query large datasets](https://docs.redivis.com/guides/analyze-data-in-a-workflow/reshape-data-in-transforms)
* [Analyze data](https://docs.redivis.com/reference/workflows/notebooks)
* [Collaborate](https://docs.redivis.com/reference/your-account/studies)
* [Host, brand, and distribute data within an organization](https://docs.redivis.com/guides/administer-an-organization)
* [Version & document datasets](https://docs.redivis.com/reference/datasets/version-control)
* [Integrate with existing data pipelines](https://docs.redivis.com/reference/tables/exporting-tables)

## Using this documentation

This documentation is broken up into **Guides**, **Examples**, and **Reference sections**.&#x20;

We recommend that new users begin by following the relevant guides and examples, while the reference section can serve as a comprehensive overview of everything that Redivis can do.

Certain users may want to dive into the more technical [API documentation](https://app.gitbook.com/s/GCgH8jTSmY8Vgwceiri5/) for interfacing with Redivis via R, Python, Javascript, and the HTTP REST API.