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Data Quality Review Toolkit
The Data Quality Review (DQR) toolkit proposes a unified approach to data quality and includes guidelines and tools that lay the basis for a common understanding of data quality.
Located in Our Work / Data Quality
Publication Data Use in the Democratic Republic of the Congo's Malaria Program: Results from Seven Provinces
MEASURE Evaluation (2017)
Located in Resources / Publications
Publication Stages of Health Information System Improvement: Strengthening the Health Information System for Improved Performance
Manish Kumar, Liz Millar (2017)
Located in Resources / Publications
Publication How Social Networks Can Improve the Use of Data
Michelle Li (2017)
Located in Resources / Publications
Publication Getting to an Evaluation Plan: A Six-Step Process from Engagement to Evidence
Brittany S. Iskarpatyoti, Beth Sutherland, Heidi W. Reynolds (2017)
Located in Resources / Publications
Waves of Opportunity from Big Data, and the Wake of Questions Left Unanswered
By Brittany Iskarpatyoti, MPH. Big data was a key topic at the American Evaluation Association annual meeting, including the questions it raises.
Located in Resources / Newsroom: News, Blogs, Podcasts, Videos / Blogs
Publication A Notch Above: Streamlining Capacity Building for M&E in Kenya
MEASURE Evaluation PIMA (2017)
Located in Resources / Publications
Publication Report of the Kenya Health Data Collaborative: Resource Mapping for Health Information and Monitoring and Evaluation Systems
Republic of Kenya Ministry of Health (2017)
Located in Resources / Publications
Improving routine health data quality through the Data Quality Review Framework
Join a RHINO forum on Wednesday, September 28, on Data Quality Review (DQR), which provides a harmonized framework and approach to assess the quality of data reported routinely from health facilities.
Located in Resources / Events
Factors that Affect Collection and Use of Sex- and Age-Disaggregated Data
MEASURE Evaluation has released three publications to help donors, governments, and groups working on health information systems to better understand factors that affect collection and use of sex- and age-disaggregated data.
Located in Resources / Newsroom: News, Blogs, Podcasts, Videos / News