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Open data is published with the intention that it can be used by everyone. In reality, various barriers exclude some people from its use. This short paper will examine common reasons why people struggle to make use of open data and propose a conceptual framework to guide narrative-driven curation of open data sets to overcome these barriers. These principles are currently being used to guide the creation of new interfaces to open data that can be used by people with differing levels of data literacy, thereby increasing inclusion of open data sets.