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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
Publication How MEASURE Evaluation Has Benefitted PEPFAR and Ministries of Health
MEASURE Evaluation (2019)
Located in Resources / Publications
Publication Successful Support for Better HIV Data
MEASURE Evaluation (2019)
Located in Resources / Publications
Publication Community-Based Indicators for HIV Programs: Data Use Cases
MEASURE Evaluation (2019)
Located in Resources / Publications
Publication Monthly Malaria Bulletins Contribute to Improving Data Use for Malaria Control in Mali
MEASURE Evaluation (2019)
Located in Resources / Publications
Publication Snowball Effect of Data Competition in Mali
MEASURE Evaluation (2019)
Located in Resources / Publications
Publication L’effet boule de neige de la compétition sur la qualité des données sanitaires au Mali
MEASURE Evaluation (2020)
Located in Resources / Publications
Publication Improved Reporting of Performance Data Supports Health Decision Making in Bangladesh
MEASURE Evaluation (2019)
Located in Resources / Publications