The Top American Research Universities - The Center for ...
The Top American Research Universities - The Center for ...
The Top American Research Universities - The Center for ...
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212<br />
Source Notes<br />
<strong>The</strong> <strong>Center</strong> Measures<br />
Total <strong>Research</strong> Expenditures<br />
Federal <strong>Research</strong> Expenditures<br />
Source: NSF/SRS Survey of R&D Expenditures at<br />
<strong>Universities</strong> and Colleges, FY 2005.<br />
Each year, the National Science Foundation (NSF) collects<br />
data from hundreds of academic institutions on expenditures <strong>for</strong><br />
research and development in science and engineering fields and<br />
classifies them by source of funds (e.g., federal government, state<br />
and local government, industry, etc.). <strong>The</strong>se data are the primary<br />
source of in<strong>for</strong>mation on academic research and development<br />
(R&D) expenditures in the United States. Included in this survey<br />
are all activities specifically organized to produce research<br />
outcomes that are separately budgeted and accounted <strong>for</strong>. This<br />
“organized research” may be funded by an external agency or<br />
organization (“sponsored research”) or by a separately budgeted<br />
organizational unit within the institution (“university research”).<br />
This report excludes activities sponsored by external agencies<br />
that involve instruction, training (except training in research<br />
techniques, which is considered organized research), and health<br />
service, community service or extension service projects.<br />
All Federally Funded <strong>Research</strong> Labs (FFRLs) are excluded<br />
from these academic expenditures data, including the following:<br />
Jet Propulsion Laboratory (Cali<strong>for</strong>nia Institute of Technology);<br />
Los Alamos National Lab, Lawrence Livermore Lab, Lawrence<br />
Berkeley Lab (University of Cali<strong>for</strong>nia); Software Engineering<br />
Institute (Carnegie Mellon); Argonne National Laboratory (University<br />
of Chicago); National Astronomy and Ionospheric <strong>Center</strong><br />
(Cornell); Ames Laboratory (Iowa State University); Lincoln<br />
Laboratory (MIT); Plasma Physics Lab (Princeton); and Linear<br />
Accelerator <strong>Center</strong> (Stan<strong>for</strong>d). <strong>The</strong> NSF data no longer classify<br />
the Applied Physics Lab (APL) at Johns Hopkins as an FFRL,<br />
but federal funds support the vast majority of research conducted<br />
there. <strong>The</strong> APL makes up nearly one-half of Johns Hopkins’<br />
total R&D expenditures and 53 percent of its federal R&D<br />
expenditures.<br />
While inconsistencies in reporting (known and unknown) do<br />
exist here, as in any survey of this type, problems arise mostly<br />
when one breaks out the data by source of funds. NSF expects<br />
institutions to use year-end accounting records to complete this<br />
report, and there are nationally recognized accounting guidelines<br />
<strong>for</strong> higher education institutions. However, there are also countless<br />
variations in institutional policy that determine whether the<br />
university reports a particular expenditure as coming from one<br />
source or another, or possibly not counted at all. Take federal <strong>for</strong>mula<br />
funds <strong>for</strong> agriculture (e.g., Hatch-McIntire, Smith-Lever) as<br />
an example. We conducted an in<strong>for</strong>mal survey of the appropriate<br />
institutions in the Association of <strong>American</strong> <strong>Universities</strong> (AAU)<br />
and found that two out of eleven land grants did not include<br />
any of these federal funds in their 1997 NSF data, while others<br />
included all or some of these monies. Because these funds make<br />
<strong>The</strong> <strong>Center</strong> <strong>for</strong> Measuring University Per<strong>for</strong>mance<br />
<strong>The</strong> <strong>Top</strong> <strong>American</strong> <strong>Research</strong> <strong>Universities</strong><br />
up a very small percentage of the total research expenditures in<br />
any given year, the impact on our total research rankings is slight.<br />
<strong>The</strong> agriculture <strong>for</strong>mula funds will have a somewhat greater, but<br />
still small, impact on the federal research rankings. NSF notes,<br />
“An increasing number of institutions have linkages with industry<br />
and foundations via subcontracts, thus complicating the identification<br />
of funding source. In addition, institutional policy may determine<br />
whether unrestricted state support is reported as state or as<br />
institutional funds.” 1<br />
We believe that the reporting inconsistencies in the data are<br />
relatively minor when using the total research expenditures and<br />
the federal research expenditures component. Federal and state<br />
government audits of institutional accounting make deceptive<br />
practices highly unlikely, even though these entities do not audit<br />
the NSF data directly. NSF goes to great lengths to verify the accuracy<br />
of the data, especially federal expenditure data—checking<br />
them against several other federal agencies that collect the same<br />
or similar in<strong>for</strong>mation. In fact, all major federal agencies and their<br />
subdivisions submit data to NSF identifying research obligations<br />
to universities each year. Historically, the NSF data have tracked<br />
very closely the data reported by universities. 2 Further, <strong>for</strong> their<br />
National Patterns of R&D Resources series, NSF prefers to use<br />
the figures reported by the per<strong>for</strong>mers of the work (that is, academic<br />
institutions, industry, nonprofits) because they believe that<br />
the per<strong>for</strong>mers are in the best position to accurately report these<br />
expenditures.<br />
In some sections of this report, these expenditure data are<br />
deflated to constant 1983 dollars to show real change over time.<br />
While NSF uses the Gross Domestic Price (GDP) implicit price<br />
deflator in its reports on federal trends in research, we use the<br />
Higher Education Price Index (HEPI) because of its narrower<br />
focus. Developed by <strong>Research</strong> Associates of Washington, the<br />
HEPI illustrates the effect of inflation on college and university<br />
operations. 3 In contrast, the GDP implicit price deflator is based<br />
on change in the entire U.S. economy and, as noted by NSF itself,<br />
“[its] use more accurately reflects an ‘opportunity cost’ criterion<br />
[i.e., the value of R&D in terms of the amount of other goods and<br />
services that could have been spent with the same amount of<br />
money], rather than a measure of cost changes of doing<br />
research.” 4<br />
<strong>The</strong> research trend data always reflect the most recent published<br />
data available because NSF allows institutions to submit<br />
revised figures <strong>for</strong> up to two years. Each year, NSF reports data<br />
<strong>for</strong> the current year as well as <strong>for</strong> the previous seven years.<br />
Specifically, we use the 2006 Survey data <strong>for</strong> fiscal years (FYs)<br />
2005-06, the 2005 Survey <strong>for</strong> FYs 1998-2004 data, and the 2004<br />
Survey <strong>for</strong> FY 1997 data. NSF’s published nationwide totals <strong>for</strong><br />
academic R&D expenditures will not always match the corresponding<br />
totals in this study due to NSF's sampling procedures <strong>for</strong><br />
smaller or non-reporting institutions. In some years, rather than<br />
identifying the institutions individually, NSF provides one<br />
aggregate figure <strong>for</strong> all sampled institutions.