Guidance for the Calculating Humanitarian Data Collection Costs

The humanitarian sector faces an exponential increase in data collection, yet organizations frequently struggle to estimate or articulate the costs associated with these exercises. This lack of transparency with donors, governments, and management underscores a critical need for a structured framework to calculate, manage, and optimize data-collection costs without compromising the impactful results necessary for life-saving decision-making.

To address this gap, this resource introduces a comprehensive framework comprising seven core constructs and 25 specific attributes that drive humanitarian data-collection costs. By breaking down data collection into primary and secondary components, the framework enables organizations to identify key cost drivers—such as operational expenses and labor hours—and understand how factors like preparation levels, organizational capabilities, and disaster difficulty influence their financial commitments.

Organizations can leverage this framework alongside a provided rapid cost-assessment tool to develop indicative budget estimates for data projects. By analyzing the cause-and-effect relationships between these constructs, stakeholders can strategically reduce costs through improved training, enhanced data-sharing protocols, and better planning, ensuring that resources are allocated efficiently throughout the entire data-collection cycle.