Secure Data Commons - What You Need to Know

What You Need to Know

The USDOT Secure Data Commons (SDC) enables collaborative and controlled integration and analysis of research data at the moderate sensitivity level, including personally identifiable information (PII) and confidential business information (CBI). With three types of data transfer updates supported: real-time (streaming), batch (daily, weekly), and ad-hoc (occasional), the SDC offers authorized and controlled access to individual datasets - as well as the metadata - associated with those datasets.

Considering the SDC for your project, data, or analysis needs?
Here's what you need to know.

See how the SDC can help you as a

Technical Requirements

SDC users are expected to be skilled in programming (R, Python, SQL expertise is required) and some to have familiarity with cloud services. To access and utilize datasets within the SDC platform, SDC users need to have experience with services and tools such as Amazon web services (i.e., Amazon S3), GitLab, SQL, RStudio, and Python.


Each participating data provider in the SDC defines the levels of access to SDC users. Based on the agreement with the data provider, the SDC team granularly grants access to approved users of the data.

Access to SDC Portal

Currently the SDC is available only to USDOT-approved projects. If you are a part of a current SDC project and would like access, or if you would like to propose your project as a new applicant for the SDC, please email

Last updated with release 2.5 (February 6, 2020)