Getting started

Redivis is a platform that allows researchers to seamlessly discover, access, and analyze data. This brief guide will walk you through the basics to get up and running and provide a launching point for exploring other resources in this documentation.

1. Create your account

Many datasets on Redivis are public, and you can browse them without creating an account. However, you'll need an account in order to analyze data, as well as to apply for access to restricted datasets.

Select Create account to sign up. You can use your academic institution's login credentials, Google account, or email.

Once you create an account, you'll be navigated to your Workspace, which is your private area for creating workflows to work with data, uploading your own datasets, and managing your Redivis account.

2. Join an organization

Most data on Redivis is uploaded and managed by an organization. If you've arrived here because an organization you're working with is using Redivis to host and manage data then you'll want to get started by finding and joining your organization.

You can browse organizations by selecting the Redivis logo in the top left corner of any Redivis page to navigate to the Explore page. Once you find an organization, you can Join it, which will add this Organization to your workspace and allow you to start applying for any restricted access datasets they have.

You can also skip this step and use Redivis to find data directly if you're not affiliated with an organization!

3. Find datasets

All data on Redivis is stored within a Dataset. If you've joined an organization you can find datasets managed by your Organization by going to your organization's home page and selecting the Datasets tab.

You can also look for datasets in your broader institution (such as Stanford or Columbia) or across all of Redivis on the Explore page.

All searches perform a full-text search across a dataset, its documentation, tables, variables, and rich metadata content. Select any dataset title to go to that Dataset page where you can view the data and metadata it contains. The data for this dataset will be available on the Tables tab, which you can explore further.

While looking for data you may also come across restricted datasets. For these you will need to select Apply for access on the Dataset page and complete the requirements to gain approval from the dataset's administrators.

Learn more in the Discover & access data guide.

4. Analyze data

Once you've found a dataset that you want to work with, you can add it to a Workflow. Workflows are the fundamental analysis interface on Redivis, where you can query, merge, reshape, and analyze any dataset that you have access to — all from within your web browser.

Add a dataset to a workflow by selecting Analyze in workflow on the dataset page.

In a workflow you can create a Transform by choosing any table and selecting +Transform, which allows you to combine and reshape your data into a final output table that best serves your analysis. These transforms use a SQL engine under the hood, allowing you to query incredibly large tables, even billions of records, in seconds.

After creating output tables for analysis, you can create a computational Notebook in R, Python, Stata, or SAS to further analyze your data and develop your final figures. Choose any table and select +Notebook to get started. The notebook will initialize and pull in the table you've chosen (or a sample if it is a large table).

You can also export and query this table from external environments, allowing you to use whatever analytical tools best suit your research question by selecting Export table on any table. Here we can download the table in a number of common formats, interface with it programmatically via the API, or export the table to supported integrations.

Learn more in the Analyze data in a workflow guide.

Next steps

Upload your own datasets

Augment your data analysis in Redivis by uploading your own datasets, with the option to share with your collaborators or the broader research community.

Learn more in the Create & manage datasets guide.

Administer your organization

Organizations allow for research groups and centers to securely distribute data to their research community. Organization administrators can create datasets, manage access, review logs, and create customized reports of their data utilization.

Contact an existing administrator to add you to their organization, or contact us to set up a new organization. Learn more in the Administer an organization guide.