In the aftermath of the November 3 earthquake in Jajarkot, a month-long media monitoring effort shed light on the proactive engagement of numerous organizations conducting interviews and surveys in the earthquake-affected communities of Jajarkot and West Rukum. This diligent data collection, however, prompted reflection on the concept of “Survey Fatigue.”
Amidst the chaotic and distressing conditions, the news consistently highlighted the highly disturbed psychological state of the affected population. In such circumstances, the redundancy in data collection raises critical questions. Is this incessant pursuit of raw data not just inefficient but also overwhelming for those already grappling with myriad challenges? Over the month, pondering on the sufficiency of secondary data emerged, why the continuous need for raw data?
One must question whether the new data collected is managed effectively and if there exists coordination with different levels of government or relevant authorities. As the psychological well-being of the affected individuals takes precedence, it becomes imperative to assess and streamline the cross-section of data management, collection, consolidation, and distribution. Are we lacking in efficient processes, and if so, where and why?
The current scenario prompts a broader contemplation on the culture of data sharing in disaster response. When will we evolve to a point where collaboration and information exchange become integral components of our response mechanisms? As organizations strive to contribute meaningfully to the recovery efforts, a strategic shift towards thoughtful data management is essential. By acknowledging the toll of survey fatigue on the affected population, we pave the way for a more empathetic and efficient disaster response, one that prioritizes the mental well-being of those facing the aftermath of a devastating earthquake.