Exploratory Cloud Research Program

Cloud computing assumes a pivotal role in biomedical research, offering a range of critical benefits. It provides the flexibility of scalable computing power and storage, access to extensive biomedical datasets, cutting-edge software and hardware resources, and user-friendly data sharing capabilities. Particularly noteworthy is its ability to level the playing field for institutions with limited on-premises computing facilities, promoting equity among the diverse array of institutions in the United States. Many NIH researchers stand to gain significantly from cloud computing technology, as it addresses their evolving computational needs. Additionally, many NIH research projects can experience transformative enhancements by harnessing the innovative capabilities of the cloud.

To take the advantage of the opportunities, the NIH Office of Data Science Strategy announced this new supplement program to support NIH researchers to explore and test potential opportunities for leveraging cloud solutions to enhance existing NIH activities.

NOSIs:

2023: NOT-OD-23-070, expired on 4/12/2023

PI meetings:

2024 ODSS Cloud Supplement Program PI Meeting

Awardee projects and their descriptions are available below.

View NOT-OD-23-070 Awardees

NOT-OD-23-070 Award Recipients
Principal Investigator	Institution	Project Title	NIH IC
DURA-BERNAL, SALVADOR	SUNY DOWNSTATE MEDICAL CENTER	Dissemination of a tool for data-driven multiscale modeling of brain circuits	NIBIB
KUMAR, POORNIMA	MCLEAN HOSPITAL	Building Reinforcement Learning and Normative Models in the Cloud	NIMH
OBUA, CELESTINO	MBARARA UNIVERSITY/SCIENCE/TECHNOLOGY	MUST Data Science Research Hub (MUDSReH) - Democratized Trusted Research Environment (dTRE)	FIC
MORSE, GENE D	STATE UNIVERSITY OF NEW YORK AT BUFFALO	Exploration of Cloud Solutions to Enhance Global Infectious Diseases Research Training Program Activities	FIC
CHERRY, J. MICHAEL	STANFORD UNIVERSITY	Support for the use and evaluation of large cloud-based genomic datasets	NHGRI
LIU, TIEMING	OKLAHOMA STATE UNIVERSITY STILLWATER	Empowering Cloud Computing for Non-image-based Diabetic Retinopathy Screening by Designing an EHR-oriented Incremental Learning Framework	NEI
KESSELMAN, CARL	UNIVERSITY OF SOUTHERN CALIFORNIA	Hybrid- and Multi-Cloud Storage Strategies for Cost-effective Deployment of Data Resources	NIDCR
ZORN, AARON M	CINCINNATI CHILDRENS HOSP MED CTR	Cloud implementation of Xenbase the Xenopus model organism knowledgebase	NICHD
RESNICK, ADAM CAIN	CHILDREN'S HOSP OF PHILADELPHIA	Enhancing CBTN digital pathology processing pipeline through the use AWS cloud-based services to enable automation, parallel processing, and rapid use of AI/ML analytics	NICHD
VALERIUS, MICHAEL TODD	BRIGHAM AND WOMEN'S HOSPITAL	ATLAS-D2K - Exploring Cloud Optimization	NIDDK
BOBASHEV, GEORGIY	RESEARCH TRIANGLE INSTITUTE	Supplement for Cloud Computing: Opioid Policy Models	NIDA
POWDERLY, WILLIAM G.	WASHINGTON UNIVERSITY	Exploration of Cloud-based High Performance Computing	NCATS
YIN, YANBIN	UNIVERSITY OF NEBRASKA LINCOLN	Exploration of cloud computing for CAZyme research	NIGMS
SAFO, SANDRA E	UNIVERSITY OF MINNESOTA	MultiViewPortal: Towards a Scalable Web Application for Multiview Learning	NIGMS
HOWE, WILLIAM MATTHEW	VIRGINIA POLYTECHNIC INST AND ST UNIV	An evaluation of the costs and benefits of cloud computing for modern systems neuroscience	NIDDK
BROOKS, STEPHEN	NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES	NIAMS Hybrid Cloud Computing Pilot	NIAMS
POWELL, ELIZABETH	NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM	Alcoholism Solutions: Synthesizing Information to Support Treatments (ASSIST 2.0)	NIAAA
ARNAOUT, RIMA	UNIVERSITY OF CALIFORNIA, SAN FRANCISCO	Developing FAIR practices for cloud-enabled AI deployment for prospective testing	NHLBI
YU, BING	UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON	Development of a cloud-based analytical tool for polygenic risk score and its implication in heart failure research	NHLBI
KOBER, KORD MICHAEL	UNIVERSITY OF CALIFORNIA, SAN FRANCISCO	An Evaluation of Cloud Computing for Symptom Science Research: Moving Genomics and Machine Learning Analyses of Cancer Chemotherapy-Related Fatigue to the Cloud	NCI
TAVTIGIAN, SEAN VAHRAM	UNIVERSITY OF UTAH	Cloud Enabled, Rigorous, Functional Assay Calibration (CERFAC)	NCI
KIEHL, KENT A	LOVELACE BIOMEDICAL RESEARCH INSTITUTE	Cloud based neuroimaging analysis for identifying traumatic brain injuries and related changes	NINDS
RUEBEL, OLIVER	UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB	Evaluation and optimization of NWB neurophysiology software and data in the cloud	NINDS
LU, ZHIYONG	NATIONAL LIBRARY OF MEDICINE	Scaling up literature annotations with cloud computing in PubTator 3.0	NLM
SHOCKLEY, KEITH/MOTSINGER-REIF, ALISON	NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES	Genome-wide analysis using cloud computing in the All of Us Researcher Workbench	NIEHS
AUERBACH, SCOTT	NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES	ToxPipe: Semi-Autonomous AI Integration of Diverse Toxicological Data Streams	NIEHS
MARCOTRIGIANO, JOSEPH	NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES	Cryo-EM data processing on the cloud	NIAID
COOPER, LEE	NORTHWESTERN UNIVERSITY AT CHICAGO	Cloud strategies for improving cost, scalability, and accessibility of a machine learning system for pathology images	NLM
KARRIKER-JAFFE, KATHERINE J.	RESEARCH TRIANGLE INSTITUTE	Supplement for Cloud Computing: Alcohol Use Disorder Treatment Simulation	NIAAA
KHAN, JAVED	NATIONAL CANCER INSTITUTE	Oncogenomics Pipeline & Databases for Childhood Cancer Data Initiative (CCDI) and other Pediatric Cancers	NCI
KUMAR, VIVEK	JACKSON LABORATORY	Google Cloud Pipeline for mouse behavior and frailty assessment for the aging research community	NIA