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Environmental health data are among the most diverse, complex, and challenging in the biomedical realm, encompassing the study of all levels of biological organization at all life stages, and often including non-biomedical exposure information. NIEHS-supported researchers are addressing the need to transform complex and diverse data into knowledge by developing innovative data science and data-driven approaches, including data sharing platforms, integration, and analytics infrastructure.