Leverage the opportunities afforded by the rapidly evolving field of data science.
The Discovery Data Science Campaign aims to improve the care of critically ill patients by leveraging the use of large-scale data (big data) for research, with the goal of application in a clinical environment through standardized data models and shared resources. Learn more about the three domains of the campaign below.
Extending the Observational Medical Outcomes Partnership (OMOP) Common Data Model for Critical Care Medicine: A Framework for Standardizing Complex ICU Data Using the Society of Critical Care Medicine's Critical Care Data Dictionary (C2D2)
Adams MCB, Hurley RW, Bartels K, et al. Extending the Observational Medical Outcomes Partnership (OMOP) Common Data Model for critical care medicine: a framework for standardizing complex ICU data using the Society of Critical Care Medicine's Critical Care Data Dictionary (C2D2). Crit Care Med. 2026 Feb 1;54(2):270-279. doi:10.1097/CCM.0000000000006969.
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A Framework and Method for Measuring the Implementation of Data Science in Critical Care
Woznica D, Al-Hakim T, Kumar VK, et al. A framework and method for measuring the implementation of data science in critical care. Crit Care Explor. 2026 Feb;8(2):e1372. doi:10.1097/CCE.0000000000001372.
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Guiding Principles for Data Sharing and Harmonization: Results of a Systematic Review and Modified Delphi from the Society from Critical Care Medicine Data Science Campaign
Armaignac D, Heavner S, Rausen M, et al. Crit Care Med. March 2025. 53(3):p e619-e631,
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Development of a Core Critical Care Data Dictionary With Common Data Elements to Characterize Critical Illness and Injuries Using a Modified Delphi Method
Murphy D, Anderson W, Heavner S, et al. Crit Care Med. 2025 Feb 21; In press.
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Critical Data for Critical Care: A Primer on Leveraging Electronic Health Record Data for Research From Society of Critical Care Medicine’s Panel on Data Sharing and Harmonization
Heavner SF, Kumar VK, Anderson W, et al. Crit Care Explore. 6(11):e1179.
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