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.
The Society of Critical Care Medicine’s (SCCM) Discovery Data Science Campaign has put out a request for proposals (RFP) for pilot projects to implement and validate the Critical Care Data Dictionary (C2D2).
This funding opportunity aims to support innovative, multi-institutional projects that integrate the C2D2 into scalable, automated pipelines for extracting, harmonizing, and analyzing critical care data. Multidisciplinary teams can submit proposals for projects to be funded up to $250,000 and help advance the use of standardized data to improve patient outcomes in critical care.
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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