Democratizing Genomic Data Science: Exploring the Impact of Cloud-Based Platforms on Data Access and Use
openNHGRI - National Human Genome Research Institute
PROJECT SUMMARY
Identifying and promoting biomedical research practices, including responsible data stewardship and analysis,
that advance broad public health benefit and healthcare equity is a societal priority and central ethical concern
for researchers and policymakers. For the genomic data science community, new NIH-supported cloud data
sharing and analysis platforms promise to `democratize' data use, enabling a more diverse range of
researchers to access large-scale genomic and linked health data and, it is hoped, widen the range of research
questions that can be answered using such data. While cloud-based data sharing theoretically promises to
widen access to genomic and related biomedical data, because researchers need no longer rely on high-
performance computing infrastructure at their local institution, the actual uptake and use of data held by these
platforms remains uninvestigated. Nor do we currently understand what investigators from underserved
backgrounds and/or underrepresented institutions (whom we refer to collectively here as “underrepresented”)
perceive as the most important opportunities for, and challenges to, accessing these new resources.
Examining how cloud-based data sharing and analysis platforms enhance the uptake and use of genomic data
by diverse researchers and institutions will help these new resources better achieve their promise to promote
true data science equity. The overall goal of this project is, therefore, to examine the role that NIH cloud-based
data sharing and analysis platforms play in promoting a more diverse range of users and research uses,
thereby democratizing genomic data science. Specifically, we will work closely with an Expert Advisory Group
to address the following Aims: Aim 1. Describe and critically assess the current impact of NIH cloud-based
data sharing and analysis platform availability on patterns of genomic data access and use; Aim 2. Compare
the perspectives of different categories of underrepresented data scientists on accessing and analyzing
genomic and linked health data on cloud-based platforms; and Aim 3. Convene expert advisors, platform
developers, and other interested parties to discuss findings and propose potential approaches to promote more
inclusive and equitable cloud-based genomic data access and use. The proposed in-depth, interdisciplinary,
mixed methods investigation will generate novel data about the ways that NIH-supported cloud data sharing
and analysis platforms are changing the genomic data sciences landscape and provide essential insights into
overcoming challenges which may be interfering with the promise of these new data sharing mechanisms.
Up to $2.3M
health research