GAO Urges Congress to Standardize Federal Data Governance
Congress should evaluate designating a single federal entity with the power to create and deploy governmentwide data benchmarks and integration rules for information utilized in establishing recipient eligibility for federal initiatives, according to a fresh assessment by the Government Accountability Office (GAO).
Key Highlights
- No central authority currently exists to enforce governmentwide data interoperability for federal program eligibility.
- The GAO suggested the Treasury Department is optimally positioned to lead federal data integration efforts.
- A review of nine critical data sources exposed widespread quality issues, including duplicate and missing records.
- Unified data standards could drastically curb improper government payments and optimize artificial intelligence integration.
The investigation revealed that no specific data management entity currently possesses the mandate to mandate and execute governmentwide system integration metrics for recipient verification data, leaving modernization tasks disconnected across different agencies.
The watchdog noted that the Department of the Treasury is highly qualified to assume the lead role due to its existing responsibilities in uncovering erroneous distributions and managing platforms that gather, verify, and execute financial, award, and transactional data.
Federal administrative bodies utilize more than 100 distinct information registries to confirm applicant qualifications across the entire funding timeline, spanning pre-award evaluations, ongoing oversight, and transactional audits. By September 2025, 28 of these registries were integrated or slated for inclusion within the federal Do Not Pay infrastructure.
The congressional watchdog assessed nine targeted information registries and uncovered data fidelity flaws within every single repository, such as omitted, erroneous, and replicated files. Furthermore, seven registries exhibited data conflicts, including overlapping metrics in fields structured to be mutually distinctive. Weak or poorly outlined verification protocols caused many of these discrepancies, lowering information trust and complicating eligibility choices.
The analysis indicated that superior systems integration could reinforce initiatives to block erroneous disbursements and amplify the state’s capacity to deploy automated systems and advanced predictive analytics.
Though national legislation and executive directives reference systemic compatibility, the oversight body discovered they fail to mandate governmentwide protocols for applicant qualification registries. Multiple repositories analyzed by investigators were developed solely to fulfill narrow statutory mandates or isolate single programs rather than bolster unified federal validation.
The accountability office additionally analyzed methods for connecting qualification registries with federal procurement tracking systems.
Investigators cross-referenced System for Award Management (SAM) and SAM Exclusion files with database records from USAspending.gov using unique entity identifiers (UEIs). While the majority of procurement recipients matched SAM registration profiles, most exclusion entries omitted a UEI because the registry does not universally demand it.
For exclusion entries containing a UEI, investigators surfaced 2,074 financial awards granted to entities flagged on the debarment registry when the transaction occurred. The briefing clarified, however, that these specific correlations do not definitively prove fraud, negligence, or erroneous distribution, requiring granular, manual investigations.
The watchdog stated that these analytical roadblocks reflect systemic difficulties federal bodies encounter when reconciling information across distinct legacy infrastructures.
The briefing concluded that harmonized data components and enhanced uniformity in baseline metrics like corporate titles and geographic locations would strengthen cross-system matching and assist personnel in spotting ineligible funding applicants.
Under the framework outlined by investigators, the Treasury would collaborate alongside the Chief Data Officer Council and interface with the Office of Management and Budget (OMB) when necessary. The oversight entity cautioned that without a designated authority, administrative bodies will suffer persistent compliance bottlenecks and systemic friction, hindering their deployment of advanced computing and predictive modeling.
In official responses appended to the briefing, the Bureau of the Fiscal Service concurred with the findings, noting that the Treasury requires explicit legal authorization to command cross-agency standardization for data feeding the Do Not Pay repository. The OMB offered no remarks.
Future Outlook
The legislative branch faces growing pressure to modernize federal information architecture as improper government spending scales alongside expanding federal budgets. Transitioning to a centralized governance model under the Treasury Department could lay the groundwork for automated fraud prevention. Over the coming years, establishing uniform rules will dictate how effectively the federal government transitions from reactive oversight to proactive, algorithm-driven compliance monitoring.
FAQs
What did the GAO recommend regarding federal data standards?
The GAO recommended that Congress designate a single federal agency, potentially the Treasury Department, to establish and enforce governmentwide data standards and interoperability requirements for verifying federal program eligibility.
Why is data interoperability important for federal programs?
Data interoperability allows different federal systems to seamlessly share and match information, which helps agencies efficiently verify recipient eligibility, prevent improper payments, and effectively utilize artificial intelligence.
What data quality issues did the GAO uncover?
The GAO reviewed nine selected data sources and found flaws in all of them, including missing, invalid, and duplicate records, as well as overlapping information in categories meant to be mutually exclusive.
Did the GAO find evidence of fraud during its database matching?
The GAO identified 2,074 awards linked to excluded entities, but the report emphasized that these matches do not automatically prove fraud or waste and require a case-by-case review to determine the exact context.