
Why today’s data quality issues are harder to detect
In a new article for Research World, DQC CEO Bob Fawson examines how today’s risks develop across the research ecosystem
Data quality challenges in market research now emerge differently than they did even a few years ago. While tools and processes have advanced, many quality failures originate earlier and accumulate across studies rather than appearing as isolated issues within a single project.
In his recent article for Research World, Data Quality Co-op’s Bob Fawson describes how current data quality risks are shaped by respondent behavior across an interconnected research ecosystem. Participants move between suppliers, surveys and platforms, carrying patterns of engagement, incentives and experience that are not visible within individual datasets. As a result, quality signals develop longitudinally rather than presenting as discrete anomalies.
Many quality controls continue to focus on what can be observed within a single study. These controls assess response behavior during fieldwork or after completion. They do not account for prior participation or cumulative exposure that influences how respondents engage over time.
Bob discusses how this limits visibility into emerging risk. Data can meet formal checks while showing reduced reliability for analysis and use in decision-making, and these patterns are difficult to detect without reference beyond the immediate project.
The article, “The quality problem changed. Our tools didn’t,” describes how this gap affects research outcomes. Quality issues appear gradually rather than as clear breakpoints, and the absence of shared context makes it harder to distinguish between project-specific effects and broader participation dynamics.
This perspective aligns with how Data Quality Co-op approaches measurement. Through our unique platform and new Data Trust Score, we aggregate quality indicators across studies and suppliers to provide longitudinal context on respondent behavior. These shared signals support earlier identification of risk and more informed decisions before fieldwork begins.
Read Bob’s full article here:
https://researchworld.com/articles/the-quality-problem-changed-our-tools-didn-t