Advancing today’s discoveries to improve health for all.

Clinical and Translational Science Research Program (CTSR)

Clinical and Translational Science Research Program (CTSR)

The goal of this award is to fund a highly meritorious interdisciplinary clinical and translational science (CTS) project that develops AI tools that advance health for all.

The CTSR Program funds a clinical and translational science (CTS) project that develops AI tools that advance health for all. 

Proposals must develop new concepts, methods, technologies or research practices that drive translational science, and should clearly identify the translational science challenges or barriers that their proposal addresses.

Proposed work must be innovative, equitable and generalizable.

Proposed work must be completed within two years. The NIH does not allow no cost extensions on these funds. Feasibility for completing the work within 24 months will be an important review criterion.

A successful translational science study:

  • Is designed to develop or test a translational science-directed hypothesis that employs one or more translational science principles to generate a scientific, operational, financial or administrative innovation that addresses longstanding challenges in the translational research pipeline to make research faster, more efficient and more impactful.​
  • Addresses a barrier to turning observations in the laboratory, clinic and community into interventions that improve the health of individuals or the population health. ​
  • Can emphasize specific clinical and translational research area but must have the potential for broader application​​.

2025 Funded Projects

How is this funding program different than the Clinical and Translational Science Pilot Program (CTSP)? 

The CTSR Program funds a clinical and translational science (CTS) project that develops AI tools that advance health for all. 

The CTSP Program funds research for the development of preliminary data to enable researchers to be competitive in applying for extramural funding that advances clinical and translational science.

Research project(s) funded through the CTSA should not only address a translational research question in a particular disease or intervention development/dissemination context, but also provide generalizable translational science (TS) innovations or insights that can be applied to other translational research projects and thereby increase the overall efficiency or effectiveness of translation. 

The project should generate innovation(s) that overcome challenges in the translational research pipeline making it faster, more efficient and more impactful. Research strategies in the proposed project should be characterized by the translational science principles.

Read the study here to help understand the difference between translational science and translational research

Primary Contacts

Lang Li

Program Co-Director of the Clinical and Translational Science Research Program, Professor and Chair of the Department of Biomedical Informatics

Tanya Berger Wolf

Program Co-Director of the Clinical and Translational Science Research Program, Director of the Translational Data Analytics Institute and Professor of Computer Science and Engineering, Electrical and Computer Engineering and Evolution, Ecology and Organismal Biology

Jenny Grabmeier

Program Manager of the Clinical and Translational Science Research Program, Director of Research Strategy at the Translational Data Analytics Institute

Data Sources

woman shares data on a tv screen to a group of individuals sitting at a board room table

Data Sources

In collaboration with data core resources and services throughout The Ohio State University, CTSI provides investigators, trainees and research staff at the Ohio State and Nationwide Children’s Hospital opportunities to access various data sources, many of which are showcased here.

Administrative Databases

Administrative/Billing databases are large and complex databases which offer near limitless possibilities to study research questions. While they can have their shortcomings, the flexibility, size and scope make them ideal candidates for many study questions.

Electronic Health Record (EHR) Databases

EHR based databases extract data directly from electronic health records in medical institutions. 


The Ohio State University Wexner Medical Center EHR 

At Ohio State, the primary data source for EHR data is the Ohio State Wexner Medical Center EHR data housed in Epic databases. The clinical data for all patients of the Ohio State Wexner Medical Center from year 2011 onwards is extracted, transformed and loaded periodically to Epic Clarity and Caboodle Databases. This data, in addition to being operationally used, is available for research via Honest Brokers, with IRB and Honest Broker Committee approval. Researchers can submit an Honest Broker request using Data Request Form.

For any questions regarding this process, please contact Honest Broker Operations Committee (hboc_admin@osumc.edu)


Other EHR-Based Databases

The below resources can offer data to answer similar research questions with varying levels of accessibility, scope and flexibility.

Cancer Databases

Cancer Registries

The registries below facilitate research in various cancer study areas.


Hairy Cell Leukemia Patient Data Registry (HCL-PDR)

Hairy Cell Leukemia Patient Data Registry enables researchers to study hairy cell leukemia in ways not previously possible given the rarity of the disease. Through the registry, multiple institutions around the world collect clinical data from HCL patient medical records. The HCL-PDR helps researchers identify new trends in patient outcomes, discover previously unknown complications of the disease and design clinical trials for new therapies until a cure is discovered.


The Ohio State PCORnet CDM Tumor Table

The Ohio State PCORnet Tumor Table is directly populated from the data collected in the Ohio State Medical Comprehensive Cancer Center and formatted according to the standards developed by the North American Association of Certified Cancer Registrars (NAACCR). Each record in the table represents a single tumor. This limited subset of the Ohio State Comprehensive Cancer Center tumor registry is integrated into and can be requested from The Ohio State University PCORnet CDM.

Other Nationwide Data Sources

Need Data Support? Ask the Data Navigator.

The Ohio State University offers numerous data sources for researchers, but effectively navigating these resources can be daunting. To assist faculty and staff in this process our Data Navigator acts as the first point of contact. The Data Navigator provides a high-level explanation of regulatory and institutional processes regarding these databases, identifies potential collaborators and addresses initial data-related questions. The navigator helps clarify requests, coordinates efforts and links investigators with domain experts for different data sources.

Contact the Data Navigator

Join a Study

Join a Study

Scientists and researchers are looking for volunteers like you to participate in clinical trials.

Clinical trials are key to developing new methods to prevent, find and treat all types of diseases. It is through clinical trials that scientists can find out if new treatments are safe and effective and work better than current treatments.

Medical advances are only possible if people participate in research. By joining a clinical trial, you actively contribute to medical advancements and scientific progress that impacts the lives of many. 

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