As the big data revolution continues to evolve, access to data that cut across many disciplines becomes increasingly valuable. In the field of public health, one barrier to sharing data is the need for users to fully comprehend complex methodological details and data variables in order to properly conduct analyses. The Clinical Epidemiology Database, ClinEpiDB.org aims to address these barriers by not only providing access to huge volumes of data, but also providing tools to help interpret complex global epidemiologic research studies. The development of ClinEpiDB has been led by a collaboration between the University of Pennsylvania’s School of Arts and Sciences, Perelman School of Medicine, University of Georgia’s Institute of Bioinformatics, University of Liverpool’s Institute of Integrative Biology.
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