EXPIRED
November 19, 2021
PA-20-272 - Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp Clinical Trial Optional)
National Institute of General Medical Sciences (NIGMS)
The National Institute of General Medical Sciences (NIGMS) announces the availability of funds for administrative supplements to NIGMS-funded awardees to build cloud-based learning modules for biomedical research.
Background
Biomedical research is increasingly dependent on access to and analysis of large and complex datasets. Cloud computing enables efficient data analysis and management without upfront investment in high-performance computing infrastructure and maintenance by individual user institutions. To realize the potential of cloud computing in expanding access to cutting-edge data and data analysis capacity, the biomedical research workforce needs effective learning and research tools to obtain hands-on experience with cloud computing. NIGMS is committed to supporting innovative approaches to help democratize cloud computing.
Research Objectives
This administrative supplement supports faculty investigators, with necessary help from cloud software engineers, to convert biomedical research training materials, including but not limited to image analysis, metagenomics, genome-wide association studies, phylogeny, artificial intelligence (AI), machine learning (ML), and deep learning (DL), etc., into cloud-based learning modules. The learning modules should include elements such as instructional videos, interactive demonstrations, and practicum exercises that encourage and enable self-learning. Use of inovative, active learning approaches is encouraged. Through each module, students are expected to learn a specific research method or technology and its application, as well as skills in interfacing with the cloud platform including cost-effective use of cloud computing resources for data acquisition, storage, and analysis. NIGMS plans to develop a cloud-based 'sandbox" to house the learning modules created through this administrative supplement to create a learning environment for students to obtain biomedical research training on diverse topics.
Faculty investigators who lead the project (project leads) are expected to be familiar with computational technologies including software programming. They are also encouraged to work with cloud software engineers provided by NIGMS/NIH STRIDES and be trained through a “train-the-trainer” engagement while building the learning modules.
Applicants and project leads do not need to propose or describe the technical specifics of converting research training materials into cloud-based learning modules but must be committed to making the learning modules broadly accessible to students interested in biomedical research either through the sandbox to be supported by NIGMS. Applicants and project leads are also encouraged to propose innovative ways to incorporate the learning modules into their ongoing research training activities.
Eligibility
Applicants for this supplement must have an active IDeA Networks for Biomedical Research Excellence (INBRE), Native American Research Centers for Health (NARCH) awards, or an NIGMS institutional research education (R25) or training (T34, T32) award at a research-active institution (defined as institutions with an average of NIH research project grant (RPG) funding less than $7.5 million total costs per year over the past 3 fiscal years; RPG data are available through NIH RePORTER).
Only one supplement request per parent award listed above will be accepted.
The parent award must be active when the supplement application is submitted (e.g., within the originally reviewed and approved project period), regardless of the time remaining on the current project. The project must not constitute a change in scope of the parent award.
Application and Submission Information
Applications for this initiative must be submitted using the following opportunity or its subsequent reissuance.
All instructions in the SF424 (R&R) Application Guide and PA-20-272 must be followed, with the following additions:
Review Information
Applications will be evaluated for scientific and technical merit by an appropriate internal review panel convened by NIGMS using the following criteria:
Applicants are strongly encouraged to notify the contact listed below that a request has been submitted in response to this NOSI to facilitate efficient processing of the request.
Lakshmi Kumar Matukumalli, Ph.D.
National Institute of General Medical Sciences (NIGMS)
Email: lakshmi.matukumalli@nih.gov