Data Quality

Data quality in EPR compliance refers to the accuracy, completeness, and reliability of packaging data reported through RPD. Poor data quality can lead to incorrect fee calculations, regulatory concern, and potential enforcement.

Dimensions of data quality:

• Accuracy — weights and materials match physical reality
• Completeness — all packaging is captured including small components
• Consistency — data is compiled using the same methodology each period
• Timeliness — data is submitted within reporting period deadlines
• Verifiability — data can be traced back to source evidence

Producers should implement quality assurance processes including: regular packaging specification reviews, cross-checking data against purchasing records, using standard weighing procedures, and periodic internal audits. Large producers may face third-party data verification requirements. Investing in data quality upfront saves costs and risk compared to correcting errors after submission.