Create a study


Studies are a way for one or more collaborators to work with data on the same conceptual topic. You can add multiple collaborators, datasets, and projects to a study to organize your workflow. In addition, some restricted data requires you to submit access applications as a study via study requirements.

1. Create a new study

On the studies tab of your workspace you can create a new study and see all studies you are a part of. This study might represent a topic or group you are working with, maybe to investigate a similar cluster of research questions. You can give the study a name and description to reflect that purpose.

2. Add collaborators

If you are working with anyone else on this study you can add them as a collaborator. Anyone who is a collaborator on this study will be able to view and edit the study same as you can. Once added, this study will appear in their workspace.


One person on the study can be designated as the PI. This designation does not have meaning within Redivis interfaces and is here to inform others in the group or administrators you are applying for access from of the group structure.

3. Add datasets

You can add any dataset to this study that you plan on working with, and remove it later if your topic shifts. This space is intended for you to gather resources that you are using in one place to make it easier to creating projects or manage data access. Datasets can be added to any number of studies.

4. Add projects

You can create a new project in this study or move an existing one in. All projects can be in at most one study, and you can see what study a project is in on the project's overview page.

Granting project access to study members

One of the options for sharing this project is to grant view or edit access to all members of the study it's in. This can be an easy way to give everyone in a group access to a project you are working on.

As with all projects, even though someone might have access to the project they will need to have independent access to all the datasets it contains in order to view or query them.

5. Apply for data access via a study

If you're working with restricted data you might come across a dataset that has a study requirement as part of its access requirements. You can identify this by the study icon next to the requirement name.

Study requirements are filled out and submitted on behalf of an entire study, rather than one person. An approved study requirement will be valid for all collaborators on the study, unlike member requirements where each individual needs to complete the requirement on their own account.

To submit a study requirement you can navigate to a restricted dataset and open the access modal. You will need to select your study from the dropdown menu, and a submit button will appear. One member of your study will fill this out and submit it on behalf of your group. Once approved, all study collaborators will see an approved requirement in their access modal.

Data usage

When restricted data has a study requirement, the data administrator can approve your application submission for use of the data within that study. In order to query data in a project, that project will need to be in the approved study. If it is not, you will see a badge noting Limited access and you will not be allowed to run transforms or query this data in a notebook.

Next steps

Start analyzing your data

Once you've gained access and set up a study it's time to add your datasets to a project to transform and analyze them leveraging lightning fast tools from your browser.

Learn more in the Analyze data in a project guide.

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