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A systems approach to enable effective team science from the internal research program of the National Center for Advancing Translational Sciences

Published online by Cambridge University Press:  12 July 2021

Amanda L. Vogel*
Affiliation:
National Institutes of Health (NIH); National Center for Advancing Translational Sciences (NCATS); Office of Policy, Communications and Education; Education Branch; Bethesda, MD, USA
Ann R. Knebel
Affiliation:
National Institutes of Health (NIH), National Center for Advancing Translational Sciences (NCATS), Division of Preclinical Innovation (DPI), Office of the Scientific Director, Rockville, MD, USA
Jessica M. Faupel-Badger
Affiliation:
National Institutes of Health (NIH); National Center for Advancing Translational Sciences (NCATS); Office of Policy, Communications and Education; Education Branch; Bethesda, MD, USA
Lili M. Portilla
Affiliation:
National Institutes of Health (NIH), National Center for Advancing Translational Sciences (NCATS), Office of Strategic Alliances (OSA), Rockville, MD, USA
Anton Simeonov
Affiliation:
National Institutes of Health (NIH), National Center for Advancing Translational Sciences (NCATS), Division of Preclinical Innovation (DPI), Office of the Scientific Director, Rockville, MD, USA
*
Address for correspondence: A.L. Vogel, PhD, MPH; National Institutes of Health, National Center for Advancing Translational Sciences; Office of Policy, Communications and Education; Education Branch; 6701 Democracy Boulevard, Bethesda, MD 20817, USA. Email: amanda.vogel@nih.gov
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Abstract

The internal research program of the National Center for Advancing Translational Sciences (NCATS) at the National Institutes of Health aims to fundamentally transform the preclinical translational research process to get more treatments to more people more quickly. The program develops and implements innovative scientific and operational approaches that accelerate and enhance translation across many diverse projects. Cross-disciplinary team science is a defining feature of our organization, with scientists at all levels engaged in multiple research teams. Here, we share our systems approach to nurturing cross-disciplinary team science, which leverages organizational policies, structures, and processes. Policies including the organizational mission statement, principles for ethical conduct of research, performance review criteria, and training program objectives and approaches reinforce the value of team science to achieve the program’s scientific goals. Structures including an organizational structure designed around solving translational problems, co-location of employees in a single state-of-the-art scientific facility, and shared-use laboratories, expertise and instrumentation facilitate collaboration. Processes including fluid team assembly, specialized project management, cross-agency partnerships, and decision making based on clear screening criteria and milestones enable effective team assembly and functioning. We share evidence of the impact of these approaches on the science and commercialization of findings and discuss pathways to broad adoption of similar approaches.

Information

Type
Special Communications
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© National Institutes of Health, 2021. To the extent this is a work of the US Government, it is not subject to copyright protection within the United States. Published by Cambridge University Press on behalf of The Association for Clinical and Translational Science
Figure 0

Table 1. Types of collaborations in internal research programs: comparing NCATS to the average of four other NIH Institutes and Centers with similarly sized budgets.

Figure 1

Fig. 1. DPI’s systems approach to enable effective team science.

Figure 2

Fig. 2. DPI staff/senior scientist performance review criteria examples.

Figure 3

Table 2. Publication impact and link to review criteria.

Figure 4

Table 3. Therapeutic areas for filed investigational new drug (IND) applications since 2011.