Centers for Disease Control and Prevention (CDC)

Collaboration Title	Collaboration Type	HHS Participating Agencies	NIH Participating Institutes/ Centers/ Office of the Director	Year Collaboration Originated
U.S. Burden of Health Disparities Working Group	Committee, Advisory Group, or Work Group	CDC	NCI, NHLBI, NIA, NIMHD, OD/ DPCPSI/ OBSSR, ODP, NIAMS
Unified Medical Language System Metathesaurus (UMLS)	Resource Development	AHRQ, CDC, CMS, FDA	NLM	1990
United States Government Children in Adversity Working Group	Committee, Advisory Group, or Work Group	CDC, ACF	FIC, NICHD, NIEHS, NIMH	2011
United States Government Global Nutrition Coordination Plan	Committee, Advisory Group, or Work Group	CDC, FDA	NICHD	2016
Urine biomarkers and risk of lung cancer in the Sisters Study	Research Initiative	CDC, FDA	NCI	2019
Urine biomarkersof tobacco and opium and risk of cancers anad heart disease	Research Initiative	CDC, FDA	NCI	2020
US Government Inter agency Working Group on Nanotechnology Environmental, and Health Implications (NEHI), of the Nanoscale Science, Engineering, and Technology Subcommittee (NSET) of the National Science and Technology Council (NSTC)	Committee, Advisory Group, or Work Group	CDC, FDA	NCI, NIEHS	2005
US Public Health Service (USPHS) Physicians Professional Advisory Committee (PPAC)	Committee, Advisory Group, or Work Group	ACF, ACL, AHRQ, ATSDR, BARDA, CDC, CMS, FDA, HRSA, IHS, OS, OSG, SAMHSA	NIAID	2015
USDA-HHS Birth to 24 Months & Pregnant Women Project Federal Expert Group	Committee, Advisory Group, or Work Group	CDC, FDA	NCI, NHLBI, NICHD, NIDDK, OD/ DPCPSI/ OBSSR, ODP	2012
Using Real-time Prescription and Insurance Claims Data to Support the HIV Care Continuum	Research Initiative	CDC	NIMH	2019

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.