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FREP Quality Assurance Framework - Overview

The FREP Quality Assurance Framework (QAF) provides a structured approach to ensuring quality in data and decision-making processes. Established on February 23, 2005, by Thomas Chen, this framework outlines essential quality assurance criteria, including timeliness, accuracy, consistency, accessibility, interpretability, value for money, fairness, and equity. It emphasizes the significance of scientific validity and public accountability in research, advocating for continuous improvement and expert consultation. The framework serves as a guide for better data practices and long-term studies, highlighting the importance of quality assurance in achieving value-for-money.

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FREP Quality Assurance Framework - Overview

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  1. FREP Quality Assurance Framework - Overview Date: Feb 23, 2005 Thomas Chen

  2. FREP QAF • Concept of QAF • Quality Assurance Criteria • QA models • “Looking forward”

  3. FREP QAF Information needs and decision-making Quality assurance requirement More than just a concept Benefits of QA Scientific validity Public accountability Good data for long-term and comparative researches/studies Value-for-Money QAF

  4. FREP QA Criteria • Timeliness • Accuracy • Consistency • Accessibility • Interpretability • Value forMoney • Fairness and Equity Please refer to FREP Quality Assurance Criteria sheet

  5. QA Models • Please refer to the “Model” page in the back.

  6. Tasks Continuous Improvement Other jurisdictions (best practices) Expert consultation and feedback Deliverables Draft version 2 to QA working group Draft of QAF (April 1) Draft Quality Control Protocols (April 29) “Looking Ahead”

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