In reporting data quality, what is a key way to maintain transparency?

• A. Clearly describe data limitations and their impact.
• B. Hide data limitations.
• C. Provide no data sources.
• D. Exaggerate data reliability.

Answer: (B)

Disclosing data limitations and their impact is essential to transparency in data quality reporting. By clearly stating what the data cannot fully capture—such as sample size, sources, collection methods, potential biases, missing values, measurement errors, and any adjustments made—you help readers understand the reliability and boundaries of the analysis. Explaining how these limitations affect conclusions allows for proper interpretation, guards against overconfidence, and supports sound decisions in valuation and fair housing analyses. Transparent reporting also aligns with ethical standards and regulatory expectations, reducing the risk that important biases go unnoticed. Concealing limitations or overstating reliability would undermine trust and could obscure discriminatory implications or data quality issues.