Ensure Data Quality

Effective decision making demands high-quality data.

Our work -- Ensure data quality

Data for Impact (D4I) focuses on sound data to ensure decisions are informed by evidence and program outcomes are improved. We help partners conduct data quality assessments (DQA) to gain a clear picture of data quality limitations, helping people understand data use parameters.

We assess quality in digital data systems and ensure robust automated data quality checks in those systems. We support the United States President’s Emergency Plan for AIDS Relief (PEPFAR) in conducting data quality snapshots to enable rapid course corrections and monitor actions for improvement. We strengthen the capacity of staff in the US and at country ministries of health to implement DQAs independently in the development and realization of data standards, privacy, and security.

Read more about D4I’s data quality work here: Data for Impact Starts with High-Quality Data

Related Content

Comparative Assessment of Data Quality Assessment Tools

Gender-Integrated Routine Data Quality Assessment (RDQA+G) Tool

Data Quality Tools

Advances in Solutions for Data Quality

Family Planning Routine Data Quality Assessment (RDQA) Report: Malawi (2024, English)

Assessment of Age Disaggregation in Routine Family Planning (FP) Data (2024, English)

Zana za Viashiria vya Kila Mtoto Mchanga – Uboreshaji wa Upimaji kwa Watoto Wachanga na Watoto Waliozaliwa Wafu (EN-MINI) Zana za Mifumo ya Kawaida ya Taarifa za Afya (2024, Swahili (Tanzania))

Every Newborn-Measurement Improvement for Newborn & Stillbirth Indicators (EN-MINI) Tools for Routine Health Information Systems and Findings from its Implementation in Tanzania (2024, English)

Every Newborn-Measurement Improvement for Newborn & Stillbirth Indicators (EN-MINI) Tools for Routine Health Information Systems (Bangla) (2024, Bengali (Bangladesh))

1 2 3 … 11
For more Resources, click here