Field Guide for Data Quality Management
Washington, DC: Pact (2014), 57 pp.
Contains tables
Series: Monitoring, Evaluation, Results and Learning Series, 2
CC BY-SA
"Data quality is a cornerstone of accountability in program reporting. In the international development sector, although we are often focused on reporting, ensuring the quality of the data that we report is critical for our partners, our donors, and our beneficiaries. In addition, Data Quality Management Plans and Routine Data Quality Assessments are both important elements of Pact’s Results and Measurement Standards. The intent of this manual is to provide guidance on how to ensure excellent data quality in all our programming. A slide set accompanying the module provides an opportunity to engage in practical exercises to test the skills outlined in this text." (Foreword)
Quick Reference Guide to Essential Data Quality Management Concepts, 3
Chapter 1: Introduction to Data Quality Management Concepts, 5
Chapter 2: Data Quality, 8
Eexercises: Data Quality Issues -- Data Quality Criteria
Chapter 3: Data Management, 19
Exercises: Challenges and Solutions to Data Quality Management -- Data Flow Mapping Exercise
Chapter 4: Data Quality Assessments and Audits, 32
Exercise: Identifying Key Data Quality Assessment Steps for Your Program
Appendix 1: How to Use the Routine Data Quality Assessment Tool, 38
Appendix 2: Data Quality Management Plan Template, 49
Chapter 1: Introduction to Data Quality Management Concepts, 5
Chapter 2: Data Quality, 8
Eexercises: Data Quality Issues -- Data Quality Criteria
Chapter 3: Data Management, 19
Exercises: Challenges and Solutions to Data Quality Management -- Data Flow Mapping Exercise
Chapter 4: Data Quality Assessments and Audits, 32
Exercise: Identifying Key Data Quality Assessment Steps for Your Program
Appendix 1: How to Use the Routine Data Quality Assessment Tool, 38
Appendix 2: Data Quality Management Plan Template, 49
