NLM Research Grants in Biomedical Informatics and Data Science (R01 Clinical Trial Optional)

Background
The National Library of Medicine (NLM) supports innovative research and development in biomedical informatics and data science. This funding opportunity focuses on biomedical discovery and data-powered health, integrating streams of complex and interconnected research outputs that can be translated into scientific insights, clinical care, public health practices, and personal wellness. The scope of NLM's interest in these research domains is broad, with emphasis on new and innovative methods and approaches to foster data driven discovery in the biomedical and clinical health sciences as well as domain-independent, scalable, and reusable/reproducible approaches to discovery, curation, analysis, organization, and management of health-related digital objects.

Grant Details
The National Library of Medicine (NLM) supports innovative research projects focused on biomedical data that combine elements of computer science and information technology to optimize the use of information and technology to improve individual and public health and biomedical research. Research areas of interest to NLM include the development of novel approaches enabling analysis and discovery at scale across biomedical domains and health care sectors, including those leveraging high-performance cloud computing and federated learning; development and demonstration of innovative informatics methods and data science techniques for informing biological, clinical, public health, and social science research; computational approaches integrating structured and unstructured data, natural language processing, automated metadata assignment; advanced information retrieval and knowledge discovery from very large and/or heterogeneous data sets; multi-level, reusable, data analytic models, simulations, information visualization, and presentation approaches to enhance decisions, learning or understanding of biological and clinical processes; approaches to assess algorithmic bias/fairness/health equity; innovative analytic methods to advance decision support that are generalizable within/ across underserved populations; applying natural language processing to unstructured health-related data including Electronic Health Record (EHR) data to increase provider-patient healthcare understanding; informatics approaches that translate basic biomedical research to clinical methods to support patient/provider decision making; data science methods/approaches that enhance the quality/security/understandability/utility of data/information/knowledge related to health/biomedicine; informatics methods/approaches to improve public health/population-level health outcomes; using biomedical informatics/data science to address health disparities/health equity.

Eligibility Requirements
Eligible applicants include higher education institutions (public/state controlled institutions of higher education, private institutions of higher education), nonprofits with 501(c)(3) IRS status (other than institutions of higher education), for-profit organizations (small businesses), state governments, county governments, city or township governments, special district governments, Indian/Native American tribal governments (federally recognized), independent school districts, public housing authorities/Indian housing authorities.

Period of Performance
The period of performance is from February 05, 2023 to January 08, 2026.

Grant Value
Application budgets are limited to $250,000 per year in direct costs. The total value of the grant will depend on the proposed project period but should not exceed $1 million over a 4-year period.