The NIAID/DMID Systems Biology Consortium for Infectious Diseases established working groups composed to foster collaboration in areas of shared expertise and project milestones. The working groups focus on critical areas of the program: modeling and data dissemination.
Modeling Working Group
The Modeling Working Group involves computational biologists, data scientists, and statistical modeling experts who work together to identify areas of collaboration and share modeling techniques and tools to leverage expertise across the centers.
Working Group publication:
Mathematical models to study the biology of pathogens and the infectious diseases they cause. iScience. 2022 Mar 15;25(4):104079. doi: 10.1016/j.isci.2022.104079
Codeathon:
Clinical and Single-Cell Transcriptomics for Pneumonia Codeathon. September 25-28, 2023, Northwestern University’s Successful Clinical Response In Pneumonia Therapy Systems Biology Center (SCRIPT).
Data Dissemination Working Group
The Data Dissemination Working Group involves representatives from each of the Systems Biology Centers. The members of this group work together to establish best practices for disseminating systems biology data in a way that is consistent with the NIH Policy for Data Management and Sharing and with the FAIR principles: findable, accessible, interoperable, and reproducible.
Working Group publications:
Developing a standardized but extendable framework to increase the findability of infectious disease datasets. Sci Data. 2023 Feb 23;10(1):99. doi: 10.1038/s41597-023-01968-9.
Addressing barriers in FAIR data practices for biomedical data. Sci Data. 2023 Feb 23;10(1):98. doi: 10.1038/s41597-023-01969-8.