If you want to identify data quality issues across the HMIS dataset before reporting, which report would you run?

• A. HUDX-225 HMIS Data Quality Report
• B. STFF-101 User Activity Report
• C. GNRL-220 Program Details Report [2019]
• D. HSNG-200 Current Housing Availability

Answer: (A)

Identifying data quality issues before reporting is best addressed with a dedicated data quality check. The HUDX-225 HMIS Data Quality Report is designed to scan the HMIS dataset for quality problems—missing values, invalid or inconsistent codes, duplicates, and timing issues—so you can clean and correct data before you generate final reports. Running this report early helps catch issues that could skew metrics, improve completeness, and ensure the accuracy of the information you share with stakeholders.

The other reports serve different purposes: the STFF-101 User Activity Report tracks who used the system and what actions they took, which is about usage and security rather than data integrity. The GNRL-220 Program Details Report [2019] provides program information, not data quality checks. The HSNG-200 Current Housing Availability report shows housing inventory status, not data quality.