For the complete documentation index, see llms.txt. This page is also available as Markdown.

Create a project

Projects are a way for collaborators to work together toward a common research goal. You can add datasets and workflows to a project to manage resources and access centrally. In addition, some restricted datasets require projects to submit access applications in the context of a specific research effort.

1. Create a new project

On the Projects tab of your workspace you can create a new project and see all projects you are a part of. You can give the project a name and abstract to reflect its aims, and complete additional metadata fields such as Narrative, Research domain, Funding, and Contact.

2. Add collaborators

If you are working with anyone else on this project you can add them as an editor or owner. Editors can view the project and its associated workflows and datasets, and update the project contents. Owners can additionally add or remove collaborators, and delete the project.

You can also assign roles to people or organizations working on this project that will be used for citation and DOI creation. These include PI(s) and other contributor roles, and can be assigned to anyone whether or not they have a Redivis account or not. Project roles are configured in the project's provenance section and do not affect access permissions within Redivis.

3. Add datasets

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

4. Add workflows

You can create a new workflow in this project or assign any workflow to this project. All workflows can only be assigned to one project, which you can manage on the workflow overview page.

Access to workflows can be granted to all collaborators in the project. This can be an easy way to give all of your project collaborators access to what you are working on.

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

5. Apply for data access via a project

If you're working with restricted data you might come across a dataset that has a project requirement as part of its access requirements.

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

To submit a project requirement you can navigate to a restricted dataset and apply for access. Select your project from the dropdown menu, and a submit button will appear. One collaborator on your project will fill this out and submit it on behalf of your group. Once approved, all project collaborators will see an approved requirement in their access modal for this project.

In order to query the restricted data, your workflow will need to be in the approved project. 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 project it's time to add your datasets to a workflow to transform and analyze them leveraging lightning fast tools from your browser.

Learn more in the Analyze data in a workflow guide.

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