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Community-based organizations face significant challenges in identifying data needs, and assembling data resources for service provision, strategy design and advocacy. We develop principles by which CBOs can develop and share large datasets in order to formulate and solve decision problems that improve the well-being of localized, often marginalized or distressed communities. We illustrate these ideas using field research from Boston, MA.

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Creative Commons Attribution-Noncommercial-Share Alike 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.



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