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To better understand the roles and experiences of community stakeholders and partners in CTSAs.
To learn about the activities of the community engagement cores and the role of community partners across the consortium, and how the cores measure success.
To elicit participant follow up feedback on the 2019 Machine Learning and Artificial Intelligence Applications in Translational Science Un-Meeting.
To improve the interoperability of data within multiple systems by making the data adhere to the FAIR data principles to ultimately enable rich machine-readable data.
To gather feedback regarding the Hub CMI Multi-Year Data Report, in order to improve future reports.
To understand the barriers and facilitators to a career in clinical and translational science.
To elicit participant follow up feedback on the 2019 Rural Health and Health Equity Un-Meeting.
To elicit participant feedback on the 2019 Rural Health and Health Equity Un-Meeting.
To elicit participant feedback on the 2019 Lifespan Integration DTF Face-to-Face Meeting
To elicit participant feedback on the 2019 CTSA Informatics Community Face-to-Face Meeting.
To elicit participant feedback on the 2019 Spring Collaboration and Engagement Meeting
To elicit participant feedback on the 2019 Spring Career Professional Development for CTSA Workforce Meeting
To elicit participant feedback on the 2019 Spring Methods and Processes Meeting
To elicit participant feedback on the 2019 Spring CTSA Program Hub Communicators Meeting
To elicit participant feedback on the 2019 Spring Common Metrics Meeting
To determine the long-term impacts of attending the Un-Meeting.