Training Initiative

Collaboration Title	Collaboration Type	HHS Participating Agencies	NIH Participating Institutes/ Centers/ Office of the Director	Year Collaboration Originated
Clinical and Translational Research Course for PhD Students	Training Initiative	FDA	CC, NCATS, NCI, NHLBI, NIAID, NIDA, NIDCR, NIDDK, NIGMS, NIMH, NINDS	2012
Health-professional Education Partnership Initiative (HEPI) and African Association for Health Professionals Education and Research (AFREHealth)	Training Initiative	OS	FIC, NINR	2018
I-Corps @ NIH	Training Initiative	CDC	NCATS, NCCIH, NCI, NHGRI, NHLBI, NIA, NIAAA, NIAID, NICHD, NIDA, NIDCD, NIDCR, NIEHS, NIMH, NINDS	2015
Interagency Collaborative Animal Research Education (ICARE) Training Project	Training Initiative	BARDA, CDC, FDA	OD/ OER	2016
ORWH E-learning courses	Training Initiative	FDA	NIGMS, OD/ DPCPSI/ ORWH	2020
rCR training to Grants Managers	Training Initiative	OASH	OD/ OER	2020
Reciprocal Educational and Training Partnerships between FDA/CDER and the NIH Clinical Center	Training Initiative	FDA	CC, NCI, NIAID, NIDCR, NIDDK, NIMH, NINDS	2007
Ruth L. Kirschstein National Research Service Award Program	Training Initiative	AHRQ, HRSA	OD/ OER	1985
Sabbatical in Clinical Research Management Program	Training Initiative	FDA, OS	CC, FIC, NCATS, NEI, NHLBI, NIAID, NIDCR, NIDDK	2009
The Centers for Disease Control and Prevention (CDC)'s Field Epidemiology Training Program (FETP) Cancer Curriculum	Training Initiative	CDC	NCI	2012
Translational Science Interagency Fellowship	Training Initiative	FDA	NCATS	2030

Funding levels reported in the Fiscal Year 2020 Intra-Agency Collaborations Reporting System (CRS) may not be consistent with funding levels reported under the Estimates of Funding for Various Research, Condition, and Disease Categories (RCDC) at the NIH Office of Budget Website at http://report.nih.gov/categorical_spending.aspx. The current process, implemented in 2008 through the Research, Condition, and Disease Categorization (RCDC) system, uses sophisticated text data mining (categorizing and clustering using words and multiword phrases) in conjunction with NIH-wide definitions used to match projects to categories. RCDC use of data mining improves consistency and eliminates the wide variability in defining the research categories reported. The definitions are a list of terms and concepts selected by NIH scientific experts to define a research category. The research category levels represent the NIH’s best estimates based on the category definitions.