Data Sharing

Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C)
Objective: To evaluate whether synthetic data derived from a national coronavirus disease 2019 (COVID-19) dataset could be used for …
Jason A. Thomas, Randi E. Foraker, Noa Zamstein, Jon D. Morrow, Philip R.O. Payne, Adam B. Wilcox, the N3C Consortium
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Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C)
LB06 Panel - Demonstrations in Synthetic Data and the National COVID Cohort Collaborative (N3C)
This panel discusses the use of synthetic data for various real analyses related to the COVID-19 pandemic. Using a synthetic dataset derived from N3C data, panelists have performed studies of data characterization, epidemic measurement, prevalence prediction, and inpatient severity prediction, and compared the data to results drawn from the original dataset. The panel provides a comprehensive review of how synthetic data can be used for analysis. While each of the studies could be considered separately, the combination of studies together creates an opportunity to clearly recognize the status of synthetic data validation, which can better advance the appropriate application of the technology in informatics broadly.
Nov 2, 2021 10:30 AM — Nov 2, 2030 12:00 PM Hilton San Diego Bayfront
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LB06 Panel - Demonstrations in Synthetic Data and the National COVID Cohort Collaborative (N3C)
The National COVID Cohort Collaborative: Analyses of Original and Computationally Derived Electronic Health Record Data
Background: Computationally derived (“synthetic”) data can enable the creation and analysis of clinical, laboratory, and diagnostic …
Randi E. Foraker, Aixia Guo, Jason A. Thomas, Noa Zamstein, Philip R.O. Payne, Adam B. Wilcox, the N3C Consortium
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The National COVID Cohort Collaborative (N3C): Rationale, Design, Infrastructure, and Deployment
Objective: COVID-19 poses societal challenges that require expeditious data and knowledge sharing. Though organizational clinical data …
Melissa A Haendel, Christopher G Chute, Tellen D Bennett, David A Eichmann, Justin Guinney, Warren A Kibbe, Philip R O Payne, Emily R Pfaff, Peter N Robinson, Joel H Saltz, Heidi Spratt, Christine Suver, John Wilbanks, Adam B Wilcox, Andrew E Williams, Chunlei Wu, Clair Blacketer, Robert L Bradford, James J Cimino, Marshall Clark, Evan W Colmenares, Patricia A Francis, Davera Gabriel, Alexis Graves, Raju Hemadri, Stephanie S Hong, George Hripscak, Dazhi Jiao, Jeffrey G Klann, Kristin Kostka, Adam M Lee, Harold P Lehmann, Lora Lingrey, Robert T Miller, Michele Morris, Shawn N Murphy, Karthik Natarajan, Matvey B Palchuk, Usman Sheikh, Harold Solbrig, Shyam Visweswaran, Anita Walden, Kellie M Walters, Griffin M Weber, Xiaohan Tanner Zhang, Richard L Zhu, Benjamin Amor, Andrew T Girvin, Amin Manna, Nabeel Qureshi, Michael G Kurilla, Sam G Michael, Lili M Portilla, Joni L Rutter, Christopher P Austin, Ken R Gersing, the N3C Consortium, Jason A. Thomas
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