Hnin Ei Lwin

In essence, data collection is part of a researcher’s toolkit, but gathering data alone does not qualify as research.   Hnin Ei Lwin #Monitoring #Evaluation #Reporting #Research #MEARL #social #development #humanitarian #publichealth 

I’m sharing this infographic as a concise overview of   “ Real-World Data Quality Challenges in Emergency Settings .” Ensuring high-quality data collection methodology in conflict-affected emergency settings is both critical and challenging. A strong methodology enhances   accuracy, credibility, and ethical integrity , while safeguarding data collectors and participants . Hnin Ei Lwin #Monitoring   #Evaluation   #Reporting   #Research   #MEARL #social   #development   #humanitarian   #publichealth  

To support stronger MEARL practices in complex and often unpredictable field settings, I  am  resharing this practical checklist. It  is  a simple yet valuable tool I created to help teams quickly reflect, adapt, and respond more effectively on the ground. This checklist is part of the whole package I developed, which also includes a detailed guide on common field-level challenges and practical strategies to address them. If you  are  interested in exploring more, I  have  included the link below. https://hnineilwinnotes.blogspot.com/2025/04/data-quality-in-emergencies-field-level.html Hnin Ei Lwin #Monitoring   #Evaluation   #Reporting   #Research   #MEARL #social   #development   #humanitarian   #publichealth  

In emergency response, the quality of our data and reporting plays a critical role in how we plan, allocate resources, and respond to people in urgent need. High-quality data helps ensure our actions are informed, timely, and equitable. However, when data collection methodologies are weak or inconsistent, the consequences can be significant: - Data may not be valid, leading to unreliable conclusions. - Assessments may be inaccurate or unnecessarily repeated. - Accessible areas are often oversampled, while harder-to-reach communities are left out. - Vulnerable groups risk being excluded. - Programs may rely on assumptions rather than actual evidence. To support field teams and strengthen MEARL practices in these complex environments, I developed a contextualized resource that outlines key challenges and practical mitigation strategies for rapid needs assessments in conflict-affected emergencies. While grounded in the Myanmar context, I believe the insights are relevant across many hum...