  Over the last 20 years, there has been an explosion of genomic data collected
for disease association, functional analyses, and other large-scale
discoveries. At the same time, there have been revolutions in cloud computing
that enable computational and data science research, while making data
accessible to anyone with a web browser and an internet connection. However,
students at institutions with limited resources have received relatively little
exposure to curricula or professional development opportunities that lead to
careers in genomic data science. To broaden participation in genomics research,
the scientific community needs to support students, faculty, and administrators
at Underserved Institutions (UIs) including Community Colleges, Historically
Black Colleges and Universities, Hispanic-Serving Institutions, and Tribal
Colleges and Universities in taking advantage of these tools in local
educational and research programs. We have formed the Genomic Data Science
Community Network (http://www.gdscn.org/) to identify opportunities and support
broadening access to cloud-enabled genomic data science. Here, we provide a
summary of the priorities for faculty members at UIs, as well as
administrators, funders, and R1 researchers to consider as we create a more
diverse genomic data science community.
