Which of the following is a proactive approach to ensuring high-quality data?

The proactive approach to ensuring high-quality data involves implementing practices that prevent issues from arising in the first place. Regularly checking for data entry errors exemplifies this approach, as it not only identifies current inaccuracies but also sets a standard for maintaining data integrity. By routinely verifying data, organizations can address errors before they propagate and affect decision-making, providing a more reliable foundation for analysis.

In contrast, downloading data from unverified sources does not contribute to high-quality data because it can introduce inaccuracies right from the start. Focusing solely on quantitative metrics may overlook important qualitative factors that could affect data quality, and establishing data collection guidelines, while beneficial, is more of a foundational step rather than an ongoing proactive measure. Thus, regularly checking for data entry errors stands out as an active method to ensure data quality over time.