Data reliability
We want users to trust the data they find on the Federal Audit Clearinghouse (FAC). That means the information must be accurate, complete, and consistent.
Reliable data creates reliable outcomes-whether you're using it to inform policy, build systems, or conduct oversight. That's why we've built in checks at every step of the process.
How we ensure reliability
We perform quality assurance from the moment data is submitted through its final publication. This includes:
- Built-in validations at the point of intake
- Regular monitoring and review
- Manual and automated corrections where necessary
To learn more about our validation process, see FAC Data Validations. For an overview of how audits are submitted, visit our Audit Resources page.
What is data curation?
Sometimes errors are discovered after submission-by us or by the public. When this happens, we follow a structured process to review and correct the issue.
We refer to this as curation-ongoing work to maintain and improve the quality of our records. It's a bit like caring for a museum collection, but instead of art, we're curating public data.
You can read more about curation and view known issues in our Data Concerns list.
Continuous improvement
When we find a bug or data issue, we log it in our public GitHub backlog. You can view our plans for future work on the Updates page.
Questions or feedback?
If you need help or have feedback about the data, reach out to our team via the Helpdesk. The same team that runs this site answers those messages-we're here to help.