Project profile — Data Analysis for Results


Johns Hopkins University
2016-03-30 - 2024-09-30
Global Affairs Canada
MFM Global Issues & Dev.Branch

Country / region 

• Mozambique (25.00%)
• Tanzania (50.00%)
• Bangladesh (25.00%)


• Health, General: Health policy and administrative management (12110) (50.00%)
• Population Policies/Programmes And Reproductive Health: Population policy and administrative management (13010) (50.00%)

Policy marker 

• Gender equality (significant objective)
• Environmental sustainability (cross-cutting) (not targeted)
• Participatory development and good governance (not targeted)
• Trade development (not targeted)
• Biodiversity (not targeted)
• Climate change mitigation (not targeted)
• Climate Change Adaptation (not targeted)
• Urban issues (not targeted)
• Desertification (not targeted)
• Children's issues (significant objective)
• Youth Issues (not targeted)
• Indigenous Issues (not targeted)
• Disability (not targeted)
• ICT as a tool for development (not targeted)


This project aims to develop, implement and refine tools and approaches to strengthen country monitoring and reporting in MNCH and nutrition. The purpose of the Real Accountability: Data Analysis for Results (RADAR) project is for the Institute for International Programs of Johns Hopkins University to work with Canadian institutions and organizations, in-country evaluation partners, governments and development partners in a subset of countries where Canada has maternal, newborn and child health (MNCH) programming. Project activities include: (1) support CAN-MNCH in the training of a cadre of Canadian technical experts that are available to assist in implementing the MNCH results tools in DFATD programs with MNCH programming; (2) support the design of an external, Canadian-based, data repository to ensure data quality, comparability and availability in order to generate regular results reports; (3) assist in the implementation of these tools in a select number of Canada’s MNCH countries in order to validate results, refine the methodologies and ensure proper implementation. The ultimate beneficiaries for this project are mothers and children, as this initiative will develop tools to assess the quality of care provided to mothers and children, in the areas of nutrition and newborn health programs.

Expected results 

The expected intermediate outcomes for this project include: (1) increased high quality, gender-sensitive and relevant data available; and (2) enhanced capacity to collect, store, and analyze maternal, newborn and child health data, including analysis by gender.

Results achieved 


Budget and spending 

Original budget $0
Planned disbursement $0
Country percentages by sector
Type of finance Aid grant excluding debt reorganisation
Collaboration type Bilateral
Type of aid Project-type interventions
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