Comparative Analysis of Data Quality Assessment Tools

  • October 2018
  • Paper / Report
  • Publisher : Data for Impact Project
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This report offers a detailed comparative analysis of widely used Data Quality Assessment (DQA) tools that are implemented in global health programs targeting HIV, TB, and malaria. It provides an evaluation of these tools based on their methodologies, strengths, and limitations. The aim is to offer guidance on how these tools can be applied in diverse contexts, ensuring that the data collected for health monitoring and evaluation is reliable. The report also focuses on improving the overall quality of data, which is critical in shaping effective public health strategies and interventions across the globe.

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MEASURE Evaluation

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Data Science for social impact

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