Resource Development

Collaboration Title	Collaboration Type	HHS Participating Agencies	NIH Participating Institutes/ Centers/ Office of the Director	Year Collaboration Originated
National Amyotrophic Lateral Sclerosis Registry	Resource Development	ATSDR, CDC	NINDS	2011
National Center for Advancing Translational Sciences (NCATS) Patient-focused Therapeutics Development Toolkit	Resource Development	FDA	NCATS	2017
National Database for Antibiotic Resistant Organisms (NDARO)	Resource Development	CDC, FDA	CC, FIC, NCATS, NCI, NHLBI, NIA, NIAAA, NIAID, NIDA	2016
National Death Index Linkage Collaboration (NIH-NDI Agreement)	Resource Development	CDC	OD/ DPCPSI/ OBSSR, OD/ IMOD	2019
National Institute on Deafness and Other Communication Disorders (NIDCD) Directory of Organizations	Resource Development	AHRQ, CDC, CMS	NIDCD	1995
National Response Team (NRT)	Resource Development	ASPR, ATSDR, CDC	NIEHS	2003
Newborn Screening Coding and Terminology Guide	Resource Development	CDC, FDA, HRSA, IOS	NHGRI, NHLBI, NICHD, NLM	2007
NGSP (formerly the National Glycohemoglobin Standardization Program)	Resource Development	CDC	NIDDK	1996
NIH Guide for Grants and Contracts	Resource Development	AHRQ, CDC, FDA	CC, CIT, CSR, FIC, NCATS, NCCIH, NCI, NEI, NHGRI, NHLBI, NIA, NIAAA, NIAID, NIAMS, NIBIB, NICHD, NIDA, NIDCD, NIDCR, NIDDK, NIEHS, NIGMS, NIMH, NIMHD, NINDS, NINR, NLM, OD/ DPCPSI, OD/ OER	2007
NINDS Common Data Elements Program	Resource Development	CDC, FDA	CIT, NINDS, NICHD, NEI, NHGRI, NCATS, NIA, NIMH, NIEHS, NIGMS, NIBIB, NIDDK, NIDCR, NINR, NHLBI	2006
Northwest Portland Tribal Registry Project	Resource Development	IHS	NCI	1999

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.