NCI Data Science Learning Exchange
►Real-Time FAIR Mortality Tracking A New Data Commons Approach in the Age of COVID
The presentation and video recording are now available.
Have you wondered how the epidemiological data for COVID-19 is being collected and disseminated nationwide? Or how the disease trajectory compares to other diseases during the same time period?
Join a virtual webinar on Jun 24 to learn how the new Mortality Tracker designed by DCEG scientists is being used across the country and how it was developed using Findable, Accessible, Interoperable, Reusable (F.A.I.R.) principles.
Abstract: In response to the urgent need for portable real-time epidemiological data analysis, DCEG scientists designed a real-time Mortality Tracker for COVID-19 and other diseases in the United States. This new data distribution method intersects epidemiology, Cloud and web computing to monitor the broader impact of COVID-19 on death rates across the United States.
Co-Presenters: All from the NCI Division of Cancer Epidemiology and Genetics (DCEG)
- Jonas S. Almeida, Ph.D., Chief Data Scientist
- Amy Berrington, Ph.D., Radiation Epidemiology Branch Chief
- Neal Freedman, Ph.D., Senior Investigator
- Meredith Shiels, Ph.D., Investigator
- Praphulla Bhawsar, MS, Data Engineer
- Bhaumik Patel, MS, Software Engineer
- Montserrat Garcia-Closas, MD Ph.D., Integrative Tumor Epidemiology Branch Chief
Date: Wednesday, June 24, 2020
Time: 9:30 - 10:30 a.m.
Place: WebEx
Registration: Not Required
Contact: NCI Data Science Learning Exchange NCIDataScienceLearningExchange@mail.nih.gov