The Data Science category focuses on the development of novel data science methods and technologies that address translational research barriers and/or support translational science aims. The emphasis will be on feasibility, applicability to multiple use cases (e.g., disease types, stages in the translational science spectrum, settings), and potential for future extramural funding.

This funding opportunity is not currently open.

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Eligibility

Data Science proposals must demonstrate how they will use Data Science to innovatively overcome a translational science barrier to translational science research.

Funding Amount

This TS01 award provides a maximum of $50,000 in a period of one year.

Important Dates

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Application Selection

Proposals that produce innovative real-world data solutions will receive the highest priority for funding.

Contact

If you have questions regarding this RFA, please contact one of the following:

General inquiries
Karen Grabowski, CTSI@urmc.rochester.edu

Scientific and Peer Review
OJ Sahler, MD, Oj_Sahler@urmc.rochester.edu
Edward Schwarz, PhD, Edward_Schwarz@urmc.rochester.edu

Financial inquiries
Mary Lyons, Mary_Lyons@urmc.rochester.edu

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The principal investigator (PI) on all proposals must be faculty members with a primary appointment at the University of Rochester. If there are MPIs, one of the members of the applying team must have a primary faculty appointment at the University of Rochester.  This team member will be the contact PI for the project.   

Faculty may participate as PI, MPI, Faculty Sponsor/Primary Mentor on only one submission per award category. Faculty may participate in multiple submissions per category as co-investigator or co-mentor.  Any faculty member who has a current grant with overlapping aims is not eligible to apply. 

Solicitation and Review Process

Phase 1: Applicants submit a two-page Letter of Intent (LOI) stating their specific aims and summarizing their proposals. The UR CTSI review committee specific to each submission category will evaluate, score, and discuss the LOIs.

Phase 2: A subset of applicants will be invited to submit full proposals. The UR CTSI Review Committee specific to each submission category will engage in a formal study section-style discussion and scoring meeting for proposals. Funding recommendations go to the UR CTSI Executive Team for a final review and decision on funding.

The Pilot Studies Funding Attestation must be submitted with the initial Letter of Intent and full proposal.

Note: All animal and human subject protocols must be approved by NCATS, the NIH institute funding the UR CTSI, prior to the start date. No funds for research project costs may be released until all required human subjects and animal welfare approvals have been received.

Please note that UR CTSI awards and funding are dependent upon the renewal of grants from the National Center for Advancing Translational Sciences (NCATS), a component of the National Institutes of Health (NIH).

Faculty Translational Data Science Pilot Award