Informatics Training for Global Health (ITGH) (D43) | Apply Online

Opportunity Summary:

The Informatics Training for Global Health (ITGH) (D43) opportunity, Funding Opportunity Number RFA TW 09 001, is a National Institutes of Health (NIH) discretionary grant focused on building practical, research-ready informatics capacity in low and middle income countries (LMICs). Led by the Fogarty International Center (FIC) and supported in collaboration with the National Library of Medicine (NLM) and the National Human Genome Research Institute (NHGRI), the program is designed to help LMIC institutions develop and sustain a workforce with strong skills in information technologies and related disciplines that directly support biomedical and behavioral research. In plain terms, the grant is about training people to become the kind of informatics experts LMIC research institutions need in order to manage, analyze, and apply health and research data effectively.

This funding announcement supports the establishment of new training programs as well as the continuation of existing ones, with the central goal of producing experts who can contribute meaningfully to research environments, not just classroom settings. The emphasis on “informatics for global health” signals a broad scope that can include health information systems, data management, computational and data sciences used in health research, and other applied information-technology skillsets that strengthen research infrastructure and outcomes in resource-constrained settings. The involvement of NLM and NHGRI also hints at relevance to biomedical knowledge management and potentially genomics-related data needs, reflecting the growing importance of data-intensive research across global health.

The mechanism of support is the NIH D43 grant mechanism, which is commonly used for international research training programs. As an education and health-related funding activity, this opportunity falls under relevant CFDA numbers including 93.989 (International Research and Research Training), 93.879 (Medical Library Assistance), and 93.172 (Human Genome Research). There is no cost sharing or matching requirement, which can reduce financial barriers for institutions seeking to propose a training program.

In terms of funding levels, NIH indicated an intention to commit approximately 1.5 million dollars in fiscal year 2009 to support about five to six awards under this announcement. The listed award ceiling is 230,000 dollars, which suggests awards were expected to be relatively focused and training-centered rather than large-scale infrastructure grants. The opportunity was posted on December 24, 2008, with an application closing date of April 3, 2009, and it was later archived on May 4, 2009.

Eligibility is broad and includes U.S. and non-U.S. entities. Eligible applicants include public and state-controlled institutions of higher education, private institutions of higher education, nonprofits with or without 501(c)(3) status (other than higher education institutions), and additional institution types such as Historically Black Colleges and Universities (HBCUs), Hispanic-serving institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, and foreign organizations (non-domestic entities). This wide eligibility aligns with the program’s international training purpose, making it feasible for collaborations between U.S. institutions and LMIC partners, or for eligible foreign institutions to participate where permitted by NIH rules and the specific FOA text.

Operationally, the announcement provides an NIH link for the full funding announcement details and points applicants to the NIH Office of Extramural Research (OER) webmaster contacts for access or technical problems. Overall, ITGH (D43) is structured as a targeted NIH training grant meant to strengthen global health research by expanding the informatics talent pipeline in LMIC settings, supporting programs that develop hands-on expertise in health-related information technology and associated scientific methods needed for modern biomedical and behavioral research.

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