Informatics Domain Task Force

Goal: Modern informatics methodologies and techniques to support clinical and translational research, community engagement, and enhance training. 

This Domain Task Force focuses on: 

  • Creating a data ecosystem that accelerates and disseminates discovery and enables creation of new knowledge thru meaningful integration of diverse data.  

  • Enhancing training in the development and use of informatics methods and tools. 

  • Supporting research networking that enables access to clinical and translational research expertise. 

  • Ensuring interoperability of digital assets to enhance collaboration in the research environment through implementation of robust data and metadata standards, adapting adequate semantic approaches and development of policies and practices for data and software access and sharing. 

  • Facilitating the innovative use of informatics technology in personalized medicine, education, patient recruitment, community engagement and dissemination of health information and practices as well as integration, analysis and visualization of research data. 

  • Supporting the CTSA consortium-wide initiatives in enabling multi-site clinical trials. 


First Friday of every month from 1 - 2 p.m. ET

Read more about Domain Task Forces



Peter Tarczy-Hornoch University of Washington - Co-Chair

Christopher Chute Johns Hopkins University - Co-Chair (SC / CD2H)

Donald Lloyd-Jones Northwestern University at Chicago - Co-Chair (SC)

Chunhua Weng Columbia University Health Sciences

GQ Zhang University of Kentucky

Albert Lai Washington University

Kenneth Gersing NCATS

Work Groups

Software, Tools, and Algorithms
People, Expertise, and Attribution




Sustainability Considerations for Clinical and Translational Research Informatics Infrastructure


Obeid, J., Tarczy-Hornoch, P., Harris, P., Barnett, W., Anderson, N., Embi, P., . . . Wehbe, F. (2018). Sustainability considerations for clinical and translational research informatics infrastructure. Journal of Clinical and Translational Science, 2(5), 267-275. doi:10.1017/cts.2018.332

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