Web-based Knowledge Integration System of the U.S. Clinical and Translational Science Enterprise to Support Public Health Response Coordination

Encouraging collaboration on translational medicine

Executive Summary

The U.S. translational science ecosystem is decentralized and complex, making it challenging for both the general public and the federal government to obtain comprehensive and real-time snapshots of the nation’s collective capacity in translational medicine. However, such information is critical for federal innovation managers to effectively focus the nation’s research capacity and coordinate timely and cohesive responses to large scale public health crises, such as the opioids epidemic. The commonly used methods for data collection are over-specific, delayed, labor-intensive, time-consuming, or heavily regulated by the Paperwork Reduction Act. In addition, the collected information quickly becomes obsolete and often get lost in scattered storages. The proposed solution aims to establish a wiki-driven, searchable, and web-based knowledge integration system that allows the appointed representatives from the federal government and the U.S. translational science institutional stakeholders (including big data science experts and a dedicated informatician) to collaboratively and dynamically initiate translational medicine-related topics, self-enter/edit the contents, and share/disseminate their solutions to translational research challenges. The proposed solution includes a strong focus on stakeholder engagement to understand their motivation to contribute and update the content frequently and actively. It also includes establishing the proper ground rules, policies, and guidance for the community.

Team Members

Timothy Hsiao (team lead), NIH
Joan Nagel, NIH
Pablo Cure, NIH
Dan Wendling, NIH
Baindu Bayon, NIH
Cynthia Boucher, NIH


October 2018: Project selected into the HHS Ignite Accelerator
June 2019: Time in Accelerator Began
September 2019: Time in Accelerator Ended