[Federal Register Volume 87, Number 61 (Wednesday, March 30, 2022)]
[Notices]
[Pages 18399-18400]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2022-06725]
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NATIONAL SCIENCE FOUNDATION
Notice of Intent To Renew a Current Information Collection
AGENCY: National Center for Science and Engineering Statistics,
National Science Foundation.
ACTION: Notice and request for comments.
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SUMMARY: The National Center for Science and Engineering Statistics
(NCSES) within the National Science Foundation (NSF) is announcing
plans to request renewal of the Higher Education Research and
Development Survey. In accordance with the requirements of the
Paperwork Reduction Act of 1995, we are providing opportunity for
public comment on this action. After obtaining and considering public
comment, NSF will prepare the submission requesting that OMB approve
clearance of this collection for three years.
DATES: Written comments on this notice must be received by May 31, 2022
to be assured consideration. Comments received after that date will be
considered to the extent practicable. Send comments to address below.
FOR FURTHER INFORMATION CONTACT: Suzanne H. Plimpton, Reports Clearance
Officer, National Science Foundation, 2415 Eisenhower Avenue, W18253,
Alexandria, Virginia 22314; telephone (703) 292-7556; or send email to
[email protected]. Individuals who use a telecommunications device for
the deaf (TDD) may call the Federal Information Relay Service (FIRS) at
1-800-877-8339 between 8:00 a.m. and 8:00 p.m., Eastern time, Monday
through Friday.
SUPPLEMENTARY INFORMATION:
Title of Collection: Higher Education Research and Development
Survey.
OMB Approval Number: 3145-0100.
Expiration Date of Current Approval: August 31, 2022.
Type of Request: Intent to seek approval to extend an information
collection for three years.
Abstract: Established within NSF by the America COMPETES
Reauthorization Act of 2010 Sec. 505, codified in the NSF Act of 1950,
as amended, the National Center for Science and Engineering Statistics
(NCSES)--one of 13 principal federal statistical agencies--serves as a
central Federal clearinghouse for the collection, interpretation,
analysis, and dissemination of objective data on science, engineering,
technology, and research and development for use by practitioners,
researchers, policymakers, and the public.
The Higher Education Research and Development (R&D) Survey
(formerly known as the Survey of R&D Expenditures at Universities and
Colleges) originated in fiscal year (FY) 1954 and has been conducted
annually since FY 1972. The survey represents one facet of the research
and development component of NCSES's statistical program, which also
includes R&D surveys on the business, federal government, higher
education, state government, and nonprofit sectors.
Use of the Information: The proposed project will continue the
annual survey cycle for three years. The Higher Education R&D Survey
will provide continuity of statistics on R&D expenditures by source of
funding, type of R&D (basic research, applied research, or
development), and field of research, with separate data requested on
research equipment by field. Further breakdowns are collected on funds
passed through to subrecipients and funds received as a subrecipient,
and on R&D expenditures by field from specific federal agency sources.
The survey also requests total R&D expenditures funded from foreign
sources, R&D within an institution's medical school, clinical trial
expenditures, R&D by type of funding mechanism (contracts vs. grants),
and R&D by cost category (salaries, equipment, software, etc.). Since
FY 2020, the survey has requested headcounts and full-time equivalents
of R&D personnel (researchers, R&D technicians, and R&D support staff).
Data are published in NSF's annual publication series Higher
Education Research and Development, available on the web at http://www.nsf.gov/statistics/srvyherd/.
Expected respondents: The FY 2022 Higher Education R&D Survey will
be administered to approximately 650 institutions. In addition, a
shorter version of the survey asking for R&D expenditures by source of
funding and broad field will be sent to approximately 275 institutions
spending at least $150 thousand but less than $1 million on R&D in
their previous fiscal year. A short population review screener is also
sent to approximately 125 institutions before the survey cycle to
identify potential eligible institutions not already in the survey
frame. Finally, a survey requesting R&D expenditures by source of
funds, cost categories, and type of R&D will be administered to the 43
Federally Funded Research and Development Centers.
Estimate of burden: The survey is a fully automated web data
collection effort and is handled primarily by administrators in
university sponsored programs and accounting offices. To minimize
burden, institutions are provided with an abundance of guidance and
resources on the web and can respond via downloadable spreadsheet if
desired. Each institution's record is pre-loaded with the 2 previous
years of comparable data that facilitate editing and trend checking.
Response to this voluntary survey has exceeded 95 percent each year.
The average burden estimate is 64 hours for the approximately 650
institutions reporting at least $1 million in R&D expenditures, 8 hours
for the approximately 275 institutions reporting less than $1 million,
1 hour for the approximately 125 institutions in the population
screener, and 11 hours for the 43 organizations completing the FFRDC
survey. The total calculated burden across all forms is 44,398 hours.
Comments: Comments are invited on (a) whether the proposed
collection of information is necessary for the proper performance of
the functions of the Agency, including whether the information shall
have practical utility; (b) the accuracy of the Agency's estimate of
the burden of the proposed collection of information; (c) ways to
enhance the quality, utility, and clarity
[[Page 18400]]
of the information on respondents, including through the use of
automated collection techniques or other forms of information
technology; and (d) ways to minimize the burden of the collection of
information on those who are to respond, including through the use of
appropriate automated, electronic, mechanical, or other technological
collection techniques or other forms of information technology.
Dated: March 25, 2022.
Suzanne H. Plimpton,
Reports Clearance Officer, National Science Foundation.
[FR Doc. 2022-06725 Filed 3-29-22; 8:45 am]
BILLING CODE 7555-01-P