Environmental Health Sciences (EHS) focuses on how the natural and built environments impact human health and well-being. This field encompasses multiple research domains including toxicology, epidemiology, exposure science, molecular biology and environmental monitoring. Cross-cutting these domains are elements from the social environment, adding to the complexity of EHS challenges. Accordingly, EHS requires an interdisciplinary approach, often generating and integrating diverse data types ranging from environmental contaminant levels and human exposure data, to biological responses at the cellular or molecular level (-omics), gene-environment interactions, to phenotypic observations and human health records1,2,3. These varied data streams offer insights into the complex interactions between environmental exposures and health outcomes but integrating them is often difficult due to disciplinary silos, inconsistent data formats, limited documentation, and challenges in accessibility. As a result of these inconsistencies, EHS data are often not Findable, Accessible, Interoperable, and Reproducible (FAIR)4, posing challenges for interdisciplinary analyses that build predictive models and support robust conclusions5. For example, experimental approaches seek to understand the modes of action of various types of exposures to develop prophylactics, interventions, and treatments to support human health, but the complexity of integrating these data can hinder EHS investigators seeking to “connect the dots.” Efforts to harmonize...

Mother identifies 20-year-old pilot killed in Florida plane crash

Environmental health sciences (EHS) generate varied and highly specialized datasets that span fields including exposure science, toxicology,