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Activity Number: 1 - Invited E-Poster Session
Type: Invited
Date/Time: Sunday, August 2, 2020 : 12:30 PM to 3:30 PM
Sponsor: Section on Statistical Consulting
Abstract #313816
Title: An Innovative Model for Establishing Data Science Units in Academic Medical Centers
Author(s): Manisha Desai* and Mary Boulos
Companies: Stanford University and Stanford University
Keywords: team science; data science; academic medical center; collaboration
Abstract:

The field of data science has great potential to address critical questions relevant for academic medical centers (AMCs). We argue that the success of data science initiatives relies heavily on the understanding that the practice of data science is a critical intellectual contribution to the overall science conducted at an AMC. Further, careful thought by academic leadership is needed for allocation of resources devoted to the practice of data science. At Stanford, we have developed a successful and innovative model for a data science collaboratory based on four fundamental elements: an emphasis on team science-based collaboration; a subscription-based funding mechanism that reflects commitment by key partners that supports the collaborative philosophy; an investment in the career development of faculty who practice data science; and a strong educational component in both team and data science. As data science becomes increasingly more essential to learning health systems, centers that specialize in the practice of data science are a critical component of not just the research infrastructure but also the intellectual environment of AMCs.


Authors who are presenting talks have a * after their name.

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