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Data Quality
Located in Our Work
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
Data Science Programming Library
This page presents some examples of core R code for kriging and mapping that has been used by the project to support its work in geospatial analysis with big data for global health.
Located in Our Work / Data Science
Health Informatics
MEASURE Evaluation helps at global and country levels to strengthen health information systems (HIS) by applying innovative health informatics tools and processes.
Located in Our Work
Defining Electronic Health Technologies and Their Benefits for Global Health Program Managers
Located in Our Work / Health Information Systems
mHealth Data Security, Privacy, and Confidentiality
mHealth Data Security, Privacy, and Confidentiality Guidelines and Checklist
Located in Our Work / mHealth
Data for Impact News
Located in Data for Impact / Resources
Publication Factors Affecting Sex- and Age-Disaggregated Data in Health Information Systems – Lessons from the Field
MEASURE Evaluation (2017)
Located in Resources / Publications
Publication A Notch Above: Streamlining Capacity Building for M&E in Kenya
MEASURE Evaluation PIMA (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