RESEARCH ARTICLE
Predictors of Negotiated NIH Indirect Rates at US Institutions S. Claiborne Johnston1*, Susan Desmond-Hellmann1, Stewart Hauser2, Eric Vermillion1, Nilo Mia1 1 University of California San Francisco, San Francisco, California, United States of America, 2 University of California Los Angeles, Los Angeles, California, United States of America * [email protected]
Abstract Background The United States (US) Department of Health and Human Services and the Office of Naval Research negotiate institutional rates for payments of overhead costs associated with administration and space usage, commonly known as indirect rates. Such payments account for a large proportion of spending by the National Institutes of Health (NIH). Little has been published about differences in rates and their predictors. OPEN ACCESS Citation: Johnston SC, Desmond-Hellmann S, Hauser S, Vermillion E, Mia N (2015) Predictors of Negotiated NIH Indirect Rates at US Institutions. PLoS ONE 10(3): e0121273. doi:10.1371/journal. pone.0121273 Academic Editor: Harry Zhang, Old Dominion University, UNITED STATES
Methods Negotiated indirect rates for on-campus research grants were requested from the Council on Governmental Relations for the 100 institutions with greatest NIH funding in 2010. NIH funding, cost of living (ACCRA Index for 2008), public vs. private status, negotiating governmental organization (Department of Health and Human Services or Office of Naval Research), US Census Region, and year were assessed as predictors of institutional indirect rates using generalized estimating equations with all variables included in the model.
Received: September 18, 2014 Accepted: January 29, 2015 Published: March 20, 2015 Copyright: © 2015 Johnston et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability Statement: All relevant data are within the paper.
Results Overall, 72 institutions participated, with 207 reported indirect rates for the years 2006, 2008, and 2010. Indirect rates ranged from 36.3% to 78%, with an average of 54.5%. Mean rates increased from 53.6% in 2006 to 55.4% in 2010 (p
Predictors of Negotiated NIH Indirect Rates at US Institutions S. Claiborne Johnston1*, Susan Desmond-Hellmann1, Stewart Hauser2, Eric Vermillion1, Nilo Mia1 1 University of California San Francisco, San Francisco, California, United States of America, 2 University of California Los Angeles, Los Angeles, California, United States of America * [email protected]
Abstract Background The United States (US) Department of Health and Human Services and the Office of Naval Research negotiate institutional rates for payments of overhead costs associated with administration and space usage, commonly known as indirect rates. Such payments account for a large proportion of spending by the National Institutes of Health (NIH). Little has been published about differences in rates and their predictors. OPEN ACCESS Citation: Johnston SC, Desmond-Hellmann S, Hauser S, Vermillion E, Mia N (2015) Predictors of Negotiated NIH Indirect Rates at US Institutions. PLoS ONE 10(3): e0121273. doi:10.1371/journal. pone.0121273 Academic Editor: Harry Zhang, Old Dominion University, UNITED STATES
Methods Negotiated indirect rates for on-campus research grants were requested from the Council on Governmental Relations for the 100 institutions with greatest NIH funding in 2010. NIH funding, cost of living (ACCRA Index for 2008), public vs. private status, negotiating governmental organization (Department of Health and Human Services or Office of Naval Research), US Census Region, and year were assessed as predictors of institutional indirect rates using generalized estimating equations with all variables included in the model.
Received: September 18, 2014 Accepted: January 29, 2015 Published: March 20, 2015 Copyright: © 2015 Johnston et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability Statement: All relevant data are within the paper.
Results Overall, 72 institutions participated, with 207 reported indirect rates for the years 2006, 2008, and 2010. Indirect rates ranged from 36.3% to 78%, with an average of 54.5%. Mean rates increased from 53.6% in 2006 to 55.4% in 2010 (p
