• Proposal: 10/05/2019


  • Amount: Up to $250,000 per year
  • Duration: Up to 4 years


The National Library of Medicine (NLM) supports innovative research and development in biomedical informatics and data science. The scope of NLM’s interest in these research domains is broad, with emphasis on new methods and approaches to foster data driven discovery in the biomedical and clinical health sciences as well as domain-independent, reusable approaches to discovery, curation, analysis, organization and management of health-related digital objects. Biomedical informatics and data science draw upon many fields, including mathematics, statistics, information science, computer science and engineering, and social/behavioral sciences. Application domains include health care delivery, basic biomedical research, clinical and translational research, precision medicine, public health, biosurveillance, health information management in disasters, and similar areas.

Biomedical informatics research areas that are of interest to NLM include, but are not limited to:

  • Information & knowledge processing, including understanding, translation or summarization of natural language in real-time or near real-time, automated assignment of metadata
  • Incorporation of machine intelligence into knowledge tools and resources for use by health care providers, scientists and consumers
  • Support for consumer and patient engagement in understanding, accessing, sharing, protecting and using their own health data
  • Approaches to curate biomedical knowledge and data to assure consistency, completeness and usability, and to foster open science
  • Biological, Social and Behavioral Research relating to human health
  • Information Sciences; Simulation; User customization; Virtual environments; Intelligent agents

Data science research areas that are of interest to NLM include, but are not limited to:

  • Integration of very large data sets and/or heterogeneous data types to support discovery, learning and health care
  • Advanced information retrieval, knowledge discovery in very large or heterogeneous data sets, discovery mining, and other techniques for in silico discovery and research including approaches for accelerating the linkage of phenotypic and genomic information
  • Models of complex data, simulations, information visualization and presentation approaches to enhance decisions, learning or understanding, particularly in large and heterogeneous data sets
  • Innovative approaches for ensuring accuracy, privacy and security of clinical and biomedical research data
  • Multi-level computational models of biological and clinical processes
  • Translational Research that supports integration and linking of all available data relating to a person’s health, regardless of the source, including clinical data, personal health records, environmental data, and other relevant data

Contact Information

Scientific/Research Contact(s):

For Clinical and Public Health Informatics:

Hua-Chuan Sim, MD
National Library of Medicine (NLM)
Telephone: 301-594-4882

For Bioinformatics and Translational Informatics:

Jane Ye, PhD
National Library of Medicine (NLM)
Telephone: 301-594-4882

For Consumer Health Informatics and Information Sciences:

Alan VanBiervliet, PhD
National Library of Medicine (NLM)
Telephone: 301-594-4882