Working Groups

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, data dissemination, and clinical.

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

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.

Clinical Working Group

The Clinical Working Group works collaboratively to identify and share clinical informatics strategies and computational tools to leverage and expand expertise across the centers with a focus on collecting, sharing, and using clinical data derived from electronic health records.

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