Data Quality Co-op (DQC), the insights industry’s first independent clearinghouse for data quality measurement, announced the formal launch of its platform. Designed to help buyers and suppliers of first-party data evaluate and improve the quality of their research inputs, the DQC platform aggregates, analyzes, and benchmarks quality signals across studies, suppliers, and time.
The DQC platform addresses the data quality challenges, inconsistencies and disruptions facing the market research industry by introducing a shared infrastructure for measuring data integrity—before a study even begins. DQC augments traditional survey-specific quality management techniques with a persistent, industry-wide data quality framework inspired by successful clearinghouses in finance, advertising, and consumer reviews. As more organizations contribute quality signals, the platform becomes smarter, creating a self-reinforcing system that enhances research outcomes for all participants.
"It's becoming increasingly difficult to determine if data is collected from qualified people,” said Bob Fawson, Co-Founder of Data Quality Co-op. “We created DQC to give the industry a common language, independent standards for quality, and proactive solutions—so that everyone from procurement teams to researchers and suppliers can operate with more confidence and less guesswork.”
Since early development, DQC has partnered with forward-thinking organizations to shape and validate its approach. The result is a comprehensive platform that delivers real-time insights into the quality of both respondents and sample providers.
Key platform capabilities include:
- Shared quality signals: Aggregates in-survey and outside-survey data from across the market research industry (e.g., bot detection, open-end analysis, identity resolution) to create a unified view of quality.
- Supplier benchmarking: Tracks and compares supplier performance over time, helping buyers optimize sourcing strategies and helping suppliers validate their credibility.
- Custom filters and dashboards: Users can create and save “My Views” to segment data by supplier, disposition, project, or time period—streamlining analysis and reporting.
- Data exports and flexibility: Survey-level exports allow for granular offline analysis, while new toggles make it easy to include or exclude specific suppliers from views.
- Automated vendor scorecards: Delivers standardized reporting that supports procurement, quality audits, and long-term vendor management.
Early adopters of the platform report finding significant value in the ability to independently evaluate supplier quality in real time, reducing time spent evaluating data quality and reducing disrupted fieldwork. The DQC platform provides the visibility needed to make decisions with confidence—and hold partners accountable to the highest data quality standards. This capability is already transforming how these early adopters manage their data for more reliable, accurate insights.