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In many disadvantaged communities worldwide, local low-resource organizations strive to improve health, education, infrastructure, and economic opportunity. These organizations struggle with becoming data-driven, because their communities still live outside of the reach of modern data infrastructure, which is crucial for delivering effective modern services. In this paper, the authors summarize some of the human, institutional and technical challenges that hinder effective data management in "First mile" communities. These include the difficulty of deploying, cultivating and retaining expertise; oral traditions of knowledge acquisition and exchange; and mismatched incentives between top-down reporting requirements and local information needs.
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