Meta Secure Research Environment
Secure Research Environment provides a secure way for qualified users to access privacy-protected data. It is built with validated privacy and security protections, such as data access controls, and has been penetration-tested by internal and external security professionals.
The Secure Research Environment runs a modified version of Jupyter within an Amazon WorkSpaces Secure Browser instance. This provides researchers access to multiple standard statistical packages including SQL, Python and R, while protecting user data. Once a researcher applies and is approved to use Secure Research Environment, they gain access to a virtual data cleanroom where data can be analyzed, and in some instances joined, under defined guidelines and restrictions that keep the data secure.
Documentation contents
OverviewExplains core concepts and usage requirements. | Workspaces Secure BrowserExplains how Secure Research Environment leverages Amazon Workspaces Secure Browser, and includes access instructions. |
Features and workflowsDescriptions of and instructions for using various Secure Research Environment features that support your research goals. | SupportGeneral FAQs plus instructions for getting help. |
ChangelogChanges made to Secure Research Environment over time. We recommend that you periodically check here for any new announcements and release notes. |