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The Rustandy Center supports research in the social sector by providing access to a variety of data sources and database support.

Getting over the gee-whiz factor of Big Data can be tough. Enumerating important Big Data sources and technologies can give us a good start in moving the discussion forward.

Amidst the explosion of data, companies are attempting to find ways to manage, store, analyze, and importantly, keep the data clean and preserve its integrity while doing so.

Testing the robustness of the data is part of the bias analysis. This process is important as new data sources are added, which can occur when a practice joins The US Oncology Network, for example.

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Source: Authors’ analysis of data released under the Transparency in Coverage rule, the Hospital Price Transparency regulation, and the American Hospital Association’s Annual Survey.