RFA-LM-16-001: NLM Institutional Training Grants for Research Training in Biomedical Informatics and Data Science (T15)
LOI: March 18, 2016
Internal Deadline: March 9, 2016, 5pm
External Deadline: April 18, 2016, 5pm
Estimated Number of Awards: 14-16
Anticipated Amount: $14,000,000 total, to be split between awardees.
Cost Sharing: This FOA does not require cost sharing as defined in the NIH Grants Policy Statement.
Submission Process: PIs must submit their application as a Limited Submission through the Office of Research Application Portal: https://app.wizehive.com/webform/USCgrants
Materials to submit:
- Single Page Proposal Summary (0.5” margins; single-spaced; font type: Arial, Helvetica, or Georgia typeface; font size: 11 pt.).
- CV – (5 pages maximum)
Who May Serve as PI:
Standard NIH eligibility requirements.
The purpose of the National Library of Medicine (NLM) Institutional Training Program in Biomedical Informatics and Data Science is to support pre-doctoral and post-doctoral training for research careers in biomedical informatics and data science. Applications may be for the creation of entirely new training programs or for the renewal of active NLM T15 training grants. NLM’s training programs help meet the growing need for investigators trained in biomedical computing, data science and related information fields as they directly relate to application domains in health and biomedicine, including health care delivery, basic biomedical research, clinical and translational research, public health and similar areas. Trainees will come to these programs with a range of educational and professional backgrounds and receive the training they need to prepare them for research careers in biomedical informatics and data science.
Applicants may propose training programs in one or more of the four basic areas for research training in informatics listed below. Special tracks may be proposed within these areas. The basic informatics training areas are:
- Health care/clinical informatics (HC): Applications of informatics principles and methods to direct patient care, such as advanced clinical decision support systems and multimedia electronic health records, to the provision of informational support to health care consumers. Special tracks might be offered for nursing informatics, dental informatics, imaging informatics, precision medicine, clinical data science or other appropriate clinical themes.
- Translational bioinformatics (TB): Applications of informatics principles and methods to support ‘bench to bedside to practice’ translational research, such as genome-phenome relationships, pharmacogenomics, or personalized medicine. Special tracks might be offered in health effects of environmental factors, mining of large scale genome-phenome datasets, intelligent tools for curation, visualization and analysis of biomedical big data, precision medicine, or other similar areas.
- Clinical research informatics (CR): Applications of informatics principles and methods to support basic clinical trials and comparative effectiveness research. Special tracks might be offered in areas such as biomedical big data analytics, biostatistics, in-silico trials, merging and mining large disparate data sets that mix images, text and data.
- Public health informatics (PH): Applications of informatics principles and methods to build integrated resources for health services research, for decision support in public health agencies, to support regional or global health research, or syndromic surveillance. Special tracks might be offered in areas such as health literacy, information design for consumers, health effects of climate change, big data visualization and analysis for population health.
Visit our Institutionally Limited Submission webpage for updates and other announcements.