Data Science & Analytics

Data Translator: ICEES+ Knowledge Provider

Description

The NCATS Biomedical Data Translator project applies semantic integration strategies to share chemical, genetic, phenotypic, disease, ontological, and other ‘knowledge sources’. Taken together, the >300 knowledge sources form an integrated data ecosystem and technology platform—the Translator system—to support clinical and translational science. RENCI contributes to three Translator Projects, including the Exposures Provider Service, which has developed ICEES (Integrated Clinical and Environmental Exposures Service) as a regulatory-compliant framework and approach for openly exposing and sharing integrated clinical and environmental exposures data. ICEES was designed as a general approach to overcome the numerous regulatory, cultural, and technical challenges that hinder efforts to openly share clinical data or any data containing personally identifiable information (PII). ICEES is currently being used to support use cases on asthma and related common pulmonary diseases, primary ciliary dyskinesia and related rare pulmonary diseases, coronavirus infection, and drug-induced liver injury. ICEES allows user to pose questions such as: are there racial disparities in the impact of exposure to airborne pollutants on asthma? what medications are associated with good/poor outcomes, and do these relationships vary by demographic subsets of patients? how do socioeconomic factors interact with airborne exposures to influence rates of asthma-related ED visits? While ICEES provides a valuable open clinical resource in and of itself, when coupled with the Translator system, ICEES provides an even more powerful open resource that allows users to pose questions such as are there drugs that can be repurposed to treat DILI-associated phenotypes or outcomes, or allow a patient to continue on a drug that is otherwise effective? ICEES is under continual development, with new use cases and analytic features planned.