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Citizenly: A platform to encourage data-driven decision making for the community by the community

As open datasets at the global, national, state and municipal levels become more available, data-driven decision-making is seeing widespread adoption at such levels. But there is a lack of such an approach at the community and neighborhood level. To foster the usage of such data-driven decision-making, we need to encourage community engagement with local data and improve data literacy in communities. Access to a one-stop-shop for all the data generated by the community regarding their neighborhood allows citizens to engage in productive participation. In this paper, we introduce Citizenly, a smart cyber-infrastructure and an easy-to-use application that provides a single access interface for the synthesis of both open datasets and local community data generated by the residents. The goal of Citizenly is to empower the democratization of data science for local community residents to use in applications such as promoting local businesses and services, highlighting issues (for e.g. vacant lots, potholes, etc.) for communities to tackle, and also promote the general use of data in the local community. We discuss the motivation for the problem, research challenges in this approach, and also discuss the qualitative evaluation of the pilot version of the application.