Monitoring and Evaluation Data Management Practices: Insights from African M&E Professionals

This study offers a comprehensive examination of Monitoring and Evaluation (M&E) data management practices across the continent, drawing on the perspectives of 158 professionals from 16 African countries, with work experience spanning 32 countries on the continent. Using a mixed-methods approach, data were collected via an online survey disseminated through regional professional networks. Findings reveal widespread adoption of digital tools for data collection and storage, moderate use of statistical software, and growing awareness of data quality, access, and security. However, persistent challenges, such as limited integration across systems, weak metadata practices, underutilization of data for decision-making, and gaps in institutional capacity, undermine the effectiveness of M&E systems. Funding constraints, skills shortages, and technological limitations were identified as major barriers. Despite these issues, respondents offered practical recommendations to strengthen M&E data systems, including investments in digital infrastructure, capacity building, and the development of standardized protocols. The study provides timely insights to inform policy, enhance data-driven development, and foster a stronger M&E culture across Africa.

Authors

Publication Details

Journal
International Journal of Social Science and Economic Research
Published
2025-01-01
DOI
https://doi.org/10.46609/ijsser.2025.v10i06.025
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Monitoring and Evaluation Data Management Practices: Insights from African M&E Professionals

Isaack Michael Nguliki
1 links
International Journal of Social Science and Economic Research
Data Quality and Management
article

Monitoring and Evaluation Data Management Practices: Insights from African M&E Professionals

Isaack Michael Nguliki
article en

Abstract

This study offers a comprehensive examination of Monitoring and Evaluation (M&E) data management practices across the continent, drawing on the perspectives of 158 professionals from 16 African countries, with work experience spanning 32 countries on the continent. Using a mixed-methods approach, data were collected via an online survey disseminated through regional professional networks. Findings reveal widespread adoption of digital tools for data collection and storage, moderate use of statistical software, and growing awareness of data quality, access, and security. However, persistent challenges, such as limited integration across systems, weak metadata practices, underutilization of data for decision-making, and gaps in institutional capacity, undermine the effectiveness of M&E systems. Funding constraints, skills shortages, and technological limitations were identified as major barriers. Despite these issues, respondents offered practical recommendations to strengthen M&E data systems, including investments in digital infrastructure, capacity building, and the development of standardized protocols. The study provides timely insights to inform policy, enhance data-driven development, and foster a stronger M&E culture across Africa.

International Journal of Social Science and Economic ResearchVol. 10(06)
Openalex Percentile: Top 76%
Data Quality and Management
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Monitoring and Evaluation Data Management Practices: Insights from African M&E Professionals — Isaack Michael Nguliki · International Journal of Social Science and Economic Research (2025) | TGRS Research Map | TGRS