Diversifying the Genomic Data Science Research Community
Abstract
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.
Cite
@article{arxiv.2201.08443,
title = {Diversifying the Genomic Data Science Research Community},
author = {The Genomic Data Science Community Network and Rosa Alcazar and Maria Alvarez and Rachel Arnold and Mentewab Ayalew and Lyle G. Best and Michael C. Campbell and Kamal Chowdhury and Katherine E. L. Cox and Christina Daulton and Youping Deng and Carla Easter and Karla Fuller and Shazia Tabassum Hakim and Ava M. Hoffman and Natalie Kucher and Andrew Lee and Joslynn Lee and Jeffrey T. Leek and Robert Meller and Loyda B. Méndez and Miguel P. Méndez-González and Stephen Mosher and Michele Nishiguchi and Siddharth Pratap and Tiffany Rolle and Sourav Roy and Rachel Saidi and Michael C. Schatz and Shurjo Sen and James Sniezek and Edu Suarez Martinez and Frederick Tan and Jennifer Vessio and Karriem Watson and Wendy Westbroek and Joseph Wilcox and Xianfa Xie},
journal= {arXiv preprint arXiv:2201.08443},
year = {2025}
}
Comments
42 pages, 3 figures