Ensuring Data Quality in Large International Development Projects
Tools, Strategies, and Lessons Learned
Bibliographic Data
| ID | 6414807 |
|---|---|
| Authors | Jennifer Sdunzik (0000-0002-4047-1208, Purdue University), Ann M Bessenbacher (0009-0005-2853-8712, Purdue University), Wilella D Burge (0000-0001-9737-6407, Purdue University), Asia Mohamed Mohamud (0009-0008-6258-1097, Somali Research and Development Institute, Mogadishu, Somalia), Abdirisak Dalmar (0000-0002-7492-6186, Somali Research and Development Institute, Mogadishu, Somalia) |
| Year | 2025 |
| Volume | 46 |
| Issue | 4 |
| Pages | 562-578 |
| Publication date | 2025-07-08 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Evaluation (JOURNAL) |
| Journal identifiers | ISSN: 1098-2140 • E-ISSN: 1557-0878 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/10982140251355093 |
| OpenAlex | W4412104425 |
| Language | EN |
| Citations received | 1 |
| References cited | 20 |
The success of development projects and evaluations hinges on having access to research protocols and methodologies that consider the needs and characteristics of stakeholders, subjects, and context while remaining rigorous and culturally sound. These efforts are often complicated by a dearth of tools that have been tested for validity and reliability in communities of interest and data collection environments that necessitate reliance on international and domestic partners with varying backgrounds to collect, process, and share data. Overcoming these challenges requires flexibility, intentionality, and continuous improvement across all partners. This article describes lessons learned from a mixed-methods longitudinal evaluation of an educational intervention in post-conflict Somalia. It shares strategies devised and implemented by the research team for developing context-appropriate tools, effectively collecting data, training field staff, and cleaning and maintaining data integrity. Evaluators, researchers, and practitioners with a focus on fragile environments and multi-site, complex interventions will benefit from the best practices and tools shared here
Business · Data quality · Knowledge management · Management science · Political science · Process management · Program evaluation · Quality (philosophy · Census and Population Estimation · Computer Science · Data Quality and Management · Data-Driven Disease Surveillance · Engineering · Public Administration · Marketing
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Challenges of research in rural poverty
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |