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Integrating large quantities of data from multiple, disparate sources can create new opportunities to understand complex environmental health questions. However, combining new types and larger quantities of data to inform a specific decision presents many new challenges. For example, investigators must develop methods to reliably integrate data from designed experiments with data re-purposed from other uses, such as electronic health records, geo-spatial data sets, and crowd-based sources.
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Informing Environmental Health Decisions Through Data Integration: Proceedings of a Workshop—in Brief
Proceedings
·2018
Integrating large quantities of data from multiple, disparate sources can create new opportunities to understand complex environmental health questions. Currently, efforts are under way to develop methods to reliably integrate data from sources or designed experiments that are not traditionally used...
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