All data sharing on the Data Republic platform is governed by approval workflows within projects. 

This article provides an overview of the end-to-end process from getting your data onto the Data Republic platform through to making it available for access and analysis in a project. 

Click on any of the links below for an in-depth overview of each topic and relevant how-to guides:

Prerequisites for Data Sharing

Prior to commencing a data sharing project on the Data Republic platform, it is important to understand the legal, technical and team setup requirements for a project.

Legal requirements

Organizations involved in a data sharing project must have signed software-use terms and have a legal framework in place to govern the rights and responsibilities of each organization participating in a data share.

Technical requirements

Your organization may be required to install additional applications and perform some setup configuration to access the platform.

Team setup requirements

Projects will require delegation of tasks to one or more users to prepare data, project manage and approve data license terms on behalf of your organization.

Role required

Activity

Analyst

1. Upload transaction/attribute data and prepare a data package (on the Data Republic platform)
2. Analyze datasets on the Data Republic platform (if your organization will be performing the data analysis)

Project Manager

1. Create or invite People to a project
2. Delegate responsibility and oversee all tasks for your organization in order to execute a data sharing project on the Data Republic platform

Data license approver

1. Approve the data license (project specific terms) on behalf of your organization

Workflows

There are 2 main workstreams for data sharing on the Data Republic platform:

  1. Data preparation: where data is uploaded and prepared for projects (using the Manage Data menu)

  2. Project creation (and management): where organizations can collaborate and manage their data sharing (using the Project menu)

Preparing your data

Note: Skip this workstream if you will not be contributing data to the project.

In this workstream, each organization focuses on loading their data into the Data Republic platform, and creating packages for Projects.

0. Data Preparation (completed in your organization's environment):

  • Refer to your Project Manager for more information on what data needs to be prepared.

  • Make sure data is cleaned (i.e. no duplicate rows, removal of null value rows, standardized formatting for fields, etc.) to ensure that the analysts can analyze the data as soon as possible.

  • Data should be prepared according to what has been agreed between organizations.

1. Upload Files: Drag and drop files less than 100MB or use SFTP for larger files.

2. Create Database: If you would like to query structured data (using View Builder) or allow approved analysts to query your data in a Redshift database, you will need to create a database. Once you have a database ready, you can create tables for your data, using the databases to group similar tables together.

4. Create a View of your table using View Builder (optional): This is optional, in the instance where you would like to share only a subset of your data for specific projects.

5. Create a Package: Specify the tables and files that you would like to contribute to a Project. A package contains meta-data only (i.e. file/table names).

Creating your Project

All data sharing on Data Republic is managed via Projects, where one or more organization may be invited to collaborate. Projects enable organizations to discuss, draft, agree on data sharing terms and access data for analysis.

0. Create a Project: Start a new project and add a description (i.e. short overview for the purpose of the project)

1. Add People: Add people who are needed for the Project (who have platform user accounts).

2. Have Conversations: Use the Conversations to converse with everyone in the Project, or create subgroups (i.e. your organization and DR) to have all communications in one place.

3. Select a Legal Framework: Participating organizations can use Data Republic's Common Legal Framework for data exchange (if this has been executed by parties involved) or create and select their own legal framework to use in Projects (if an organization has signed the Third Party Module).

4. Add Packages (from the Data Preparation work stream). If you will be contributing data to a Project, you will need to add Packages to the Project (to specify which files and/or tables you will be sharing).

5. Submit the Data License: A Data License should be drafted while the data is being prepared, as organizations will need to allocate enough time to discuss, negotiate, agree on terms for permitted use of data and approve the data license.

6. Request a Workspace and Load Packages: Once the Data License is approved, a Workspace can be created, people can be added, and Data Packages can be loaded to allow for the analysis to begin!

7. Begin your analysis: Only authorized users from organizations permitted in the Data License can access data for analysis.

8. Request outputs from your Workspace: When you have finished with your analysis, submit a request to extract any outputs permitted by the data license in your project. All output requests are subject to approval by Data Republic.

Project Completion

Once data analysis is underway in the Project, the analyst will explore the data and create any outputs if the Data License allows for this. Upon project completion, the Workspace will be terminated.

1. Terminate Workspace: Once the Project is complete and permitted outputs have been extracted, the Workspace can be terminated, and all of the data inside deleted.

Additional Information

Check out our Quick Tour of the Data Republic platform. This article provides an:

  • Overview of main Data Republic platform screens to prepare data and create a project 

  • Online support resources

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