Real-World Data Quality Challenges in Emergency Settings

When we look at data, we should not only ask what data we have, but also how it was collected. Research is not just about completing a study or producing results. It is also about ensuring that the data behind those results is reliable and credible. 


If we do not take data quality seriously now, there may come a time when human-led data collection is seen as unnecessary, especially as AI can gather data a million times faster than we can. Paying attention to data quality today is what helps human research continue to add value in the future.


Hnin Ei Lwin
#Monitoring #Evaluation #Reporting #Research #MEARL
#social #development #humanitarian #publichealth 


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