Statistical Policy Directive: Fundamental Responsibilities of Federal Statistical Agencies and Recognized Statistical Units, 29307-29312 [2014-11735]

Agencies

• Management and Budget Office

[Federal Register Volume 79, Number 98 (Wednesday, May 21, 2014)]
[Notices]
[Pages 29307-29312]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: 2014-11735]



[[Page 29307]]

Vol. 79

Wednesday,

No. 98

May 21, 2014

Part III





Office of Management and Budget





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Statistical Policy Directive: Fundamental Responsibilities of Federal 
Statistical Agencies and Recognized Statistical Units; Notice

Federal Register / Vol. 79 , No. 98 / Wednesday, May 21, 2014 / 
Notices

[[Page 29308]]


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OFFICE OF MANAGEMENT AND BUDGET


Statistical Policy Directive: Fundamental Responsibilities of 
Federal Statistical Agencies and Recognized Statistical Units

AGENCY: Executive Office of the President, Office of Management and 
Budget.

ACTION: Notice of Solicitation of Comments.

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SUMMARY: Under the Budget and Accounting Procedures Act of 1950 (31 
U.S.C. 1104 (d)) and the Paperwork Reduction Act of 1995 (44 U.S.C. 
3504 (e)), the Office of Management and Budget (OMB) issues for comment 
a proposed new Statistical Policy Directive. This Directive affirms the 
fundamental responsibilities of Federal statistical agencies and 
recognized statistical units in the design, collection, processing, 
editing, compilation, analysis, release, and dissemination of 
statistical information.
    In its role as coordinator of the Federal statistical system under 
the Paperwork Reduction Act, OMB, among other responsibilities, is 
required to ensure the efficiency and effectiveness of the system as 
well as the integrity, objectivity, impartiality, utility, and 
confidentiality of information collected for statistical purposes. OMB 
is also charged with developing and overseeing the implementation of 
Government-wide principles, policies, standards, and guidelines 
concerning the development, presentation, and dissemination of 
statistical information. The Information Quality Act (Pub. L. 106-554, 
Division C, title V, Sec. 515, Dec. 21, 2000; 114 Stat. 2763A-153 to 
2763A-154) requires OMB, as well as all other Federal agencies, to 
maximize the objectivity, utility, and integrity of information, 
including statistical information, provided to the public.
    To operate efficiently and effectively, the Nation relies on the 
flow of objective, credible statistics to support the decisions of 
governments, businesses, individuals, households, and other 
organizations. Any loss of trust in the accuracy, objectivity, or 
integrity of the Federal statistical system and its products causes 
uncertainty about the validity of measures the Nation uses to monitor 
and assess its performance, progress, and needs by undermining the 
public's confidence in the information released by the Government.
    To support the quality and objectivity of Federal statistical 
information, OMB is issuing for comment a proposed new Statistical 
Policy Directive to affirm the long-acknowledged, fundamental 
responsibilities of Federal statistical agencies and recognized 
statistical units in the design, collection, processing, editing, 
compilation, analysis, release, and dissemination of statistical 
information. Additional discussion of the proposed Directive, together 
with the draft Directive itself, may be found in the SUPPLEMENTARY 
INFORMATION section below.

DATES: Comments on the proposed new Statistical Policy Directive 
detailed in this notice must be in writing. To ensure consideration of 
comments, they must be received no later than July 21, 2014. Please be 
aware of delays in mail processing at Federal facilities due to 
increased security. Respondents are encouraged to send comments 
electronically via email, FAX, or https://www.regulations.gov (discussed 
in ADDRESSES below).

ADDRESSES: Please send any comments or questions about this directive 
to: Katherine K. Wallman, Chief Statistician, Office of Management and 
Budget, 10201 New Executive Office Building, Washington, DC 20503, 
telephone number: (202) 395-3093, FAX number: (202) 395-7245. You may 
also send comments or questions via Email to DirectiveNo1@omb.eop.gov 
or to https://www.regulations.gov--a Federal E-Government Web site that 
allows the public to find, review, and submit comments on documents 
that agencies have published in the Federal Register and that are open 
for comment. Simply type, ``Directive No. 1'' (in quotes) in the 
Comment or Submission search box, click Go, and follow the instructions 
for submitting comments.
    Comments submitted in response to this notice may be made available 
to the public through relevant Web sites. For this reason, please do 
not include in your comments information of a confidential nature, such 
as sensitive personal information or proprietary information. If you 
send an email comment, your email address will be automatically 
captured and included as part of the comment that is placed in the 
public docket. Please note that responses to this public comment 
request containing any routine notice about the confidentiality of the 
communication will be treated as public comments that may be made 
available to the public notwithstanding the inclusion of the routine 
notice. Because of delays in the receipt of regular mail related to 
security screening, respondents are encouraged to use electronic 
communications.
    Electronic Availability: This document is available on the Internet 
on the OMB Web site at www.omb.gov/inforeg/ssp/DirectiveNo1.

FOR FURTHER INFORMATION CONTACT: Jennifer Park, 10201 New Executive 
Office Building, Washington, DC 20503, Email address: jpark@omb.eop.gov 
with subject Directive No. 1, telephone number: (202) 395-9046, FAX 
number: (202) 395-7245.

SUPPLEMENTARY INFORMATION: The Nation relies on the flow of credible 
statistics to support the decisions of governments, businesses, 
individuals, households, and other organizations. Any loss of trust in 
the relevance, accuracy, objectivity, or integrity of the Federal 
statistical system and its products can foster uncertainty about the 
validity of measures our Nation uses to monitor and assess performance, 
progress, and needs.
    Definitions: The terms, Federal statistical agencies and recognized 
statistical units, statistical activities, statistical purpose, 
utility, relevance, objectivity, accuracy, and confidentiality, as used 
in this section, are defined within the text of the proposed 
statistical directive in the subsequent section.
    Scope: The Federal statistical system comprises over 100 programs 
that engage in statistical activities. However, this Directive 
specifically applies to the following Federal statistical agencies and 
recognized statistical units:

--Bureau of Economic Analysis (Department of Commerce);
--Bureau of Justice Statistics (Department of Justice);
--Bureau of Labor Statistics (Department of Labor);
--Bureau of Transportation Statistics (Department of Transportation);
--Census Bureau (Department of Commerce);
--Economic Research Service (Department of Agriculture);
--Energy Information Administration (Department of Energy);
--National Agricultural Statistics Service (Department of Agriculture);
--National Center for Education Statistics (Department of Education);
--National Center for Health Statistics (Department of Health and Human 
Services);
--National Center for Science and Engineering Statistics (National 
Science Foundation);
--Office of Research, Evaluation, and Statistics (Social Security 
Administration);
--Statistics of Income Division (Department of the Treasury);
--Microeconomic Surveys Unit, Federal Reserve Board;

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--Center for Behavioral Health Statistics and Quality, Substance Abuse 
and Mental Health Services Administration (Department of Health and 
Human Services);
--National Animal Health Monitoring System, Animal and Plant Health 
Inspection Service (Department of Agriculture); and
--Federal statistical agencies and statistical units newly recognized 
after the issuance of this Directive.

    Background: The Federal Government has taken a number of 
legislative and executive actions, informed by national and 
international professional practice, to maintain public confidence in 
the relevance, accuracy, objectivity, and integrity of Federal 
statistics. Below are listed those actions that provide a common 
foundation for core statistical agency functions. Taken as a whole, 
these complementary documents contribute to an integrative framework 
guiding the production of Federal statistics, encompassing design, 
collection, processing, editing, compilation, analysis, release, and 
dissemination.
    The Paperwork Reduction Act (PRA) makes OMB responsible, among 
other requirements, for coordination of the Federal statistical system. 
The purpose of this coordination is to ensure the integrity, 
objectivity, impartiality, utility, and confidentiality of information 
collected for statistical purposes.
    Title V of the E-Government Act of 2002, the Confidential 
Information Protection and Statistical Efficiency Act of 2002 (CIPSEA) 
(Pub. L. 107-347, title V; 116 Stat. 2962, Dec. 17, 2002) establishes 
uniform data protection requirements for Federal statistical 
collections, sets minimum standards for safeguarding confidential 
statistical information, and ensures the confidentiality of information 
collected exclusively for statistical purposes. OMB's Implementation 
Guidance for Title V of the E-Government Act, Confidential Information 
Protection and Statistical Efficiency Act of 2002 (72 FR 33362, 33368, 
June 15, 2007) supports public trust by standardizing the pledge 
Federal statistical agencies use when collecting information for 
statistical purposes from the public. It provides a uniform approach to 
protecting confidential information any time an agency pledges to keep 
confidential the information it collects exclusively for statistical 
purposes. This guidance also requires the application of sound 
scientific and statistical disclosure limitation techniques to minimize 
the risk of re-identification of survey respondents in statistical data 
products. Additional legislation requires maintaining the 
confidentiality of responses to agency-specific data collections.\1\
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    \1\ Examples of such laws are the Food Security Act of 1985 Sec. 
1770, 7 U.S.C. 2276, as amended in Public Law 105-113 (Nov. 21, 
1997) (National Agricultural Statistics Service), 13 U.S.C. 9 
(Census Bureau), 42 U.S.C. 1873 (National Science Foundation), and 
the Education Sciences Reform Act of 2002 (Pub. L. 107-279, Nov. 5, 
2002) (National Center for Education Statistics).
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    The Privacy Act of 1974 and the Privacy Act Implementation, 
Guidelines and Responsibilities (5 U.S.C. 552a; 40 FR 28948, Jul. 9, 
1975) establish a series of requirements to ensure that personal 
information about individuals collected by Federal agencies is limited 
to that which is legally authorized and necessary and is maintained in 
a manner which precludes unwarranted intrusions upon individual 
privacy. Section 208 of the E-Government Act of 2002 (Pub. L. 107-347, 
44 U.S.C. Ch 36, Dec. 17, 2002) requires agencies to conduct privacy 
impact assessments when they develop, procure, or use information 
technology to collect, maintain, or disseminate personally identifiable 
information. OMB's Circular A-130 (revised Nov. 28, 2000) establishes 
policy for the management of Federal information resources, including 
certain privacy reporting and publication requirements. These statutes 
and policies promote public trust by establishing a common code of fair 
information practices that applies to all Federal agencies that collect 
information about individuals.
    Pursuant to the Information Quality Act, OMB has established 
guidelines that require each Federal agency to institute procedures to 
ensure the objectivity, utility, and integrity of information, 
including statistical information, provided to the public. OMB 
Government-wide Information Quality Guidelines (67 FR 8453, Jan. 3, 
2002) define objectivity, utility, and integrity in a manner consistent 
with use of these terms in the PRA. Each Federal agency, through the 
adoption or adaptation of these guidelines, maintains its commitment to 
use the best available science and statistical methods; subjects 
information, models, and analytic results to independent peer review by 
qualified experts, when appropriate; disseminates its data and analytic 
products with a high degree of transparency about the data and methods 
to facilitate its reproducibility by qualified third parties; and 
ensures that the presentation of information is comprehensive, 
informative, and understandable.
    OMB's Directive on Standards and Guidelines for Statistical Surveys 
(71 FR 55522, Sept. 22, 2006) describes specific practices that support 
the quality of design, collection, processing, production, analysis, 
review, and dissemination of information from statistical surveys.
    OMB's Statistical Policy Directive No. 3, Compilation, Release, and 
Evaluation of Principal Federal Economic Indicators (50 FR 38932, Sept. 
25, 1985) establishes requirements for Federal agencies regarding the 
compilation and release of economic activity measures that are relied 
upon by the public as Principal Federal Economic Indicators.
    OMB's Statistical Policy Directive No. 4, Release and Dissemination 
of Statistical Products Produced by Federal Statistical Agencies (73 FR 
12622-12625, Mar. 7, 2008) establishes requirements for Federal 
statistical agencies on the release and dissemination of statistical 
products. Agencies are required to follow specific procedures to ensure 
that their release of information is equitable across all users, policy 
neutral, transparent and understandable to the public, and timely to 
the needs of data users.
    The President's Memorandum on the Preservation and Promotion of 
Scientific Integrity (March 9, 2009) articulates six principles central 
to the preservation and promotion of scientific integrity. A central 
theme of the President's memorandum is that the public must be able to 
trust the science and scientific process informing public policy 
decisions. The Memorandum for the Heads of Executive Departments and 
Agencies (December 17, 2010) issued by the Director of the Office of 
Science and Technology Policy provides guidance for implementing the 
President's policy on scientific integrity. That memorandum directs 
Executive departments and agencies to develop policies that ensure a 
culture of scientific integrity, strengthen the actual and perceived 
credibility of government research, facilitate the free flow of 
scientific and technologic information, and establish principles for 
conveying scientific and technologic information to the public.
    Principles and Practices for a Federal Statistical Agency, issued 
by the National Research Council of the National Academy of Sciences, 
has guided managerial and technical decisions made by national and 
international statistical agencies for decades. Four principles are 
identified.\2\
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    \2\ Principles and Practices for a Federal Statistical Agency, 
National Research Council of the National Academies, Fifth edition, 
Committee on National Statistics, Constance F. Citro and Miron L. 
Straf, Editors, Division of Behavioral and Social Sciences and 
Education. Washington, DC. The National Academies Press (2013).

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    1. Relevance to Public Policy Issues. A Federal statistical agency 
must be in a position to provide objective, accurate, and timely 
information that is relevant to issues of public policy.
    2. Credibility Among Data Users. A Federal statistical agency must 
have credibility with those who use its data and information.
    3. Trust Among Data Providers. A Federal statistical agency must 
have the trust of those whose information it obtains.
    4. Independence from Political and Other Undue External Influence. 
A Federal statistical agency must be independent from political and 
other undue external influence in developing, producing, and 
disseminating statistics.
    The United States is not alone in identifying statistical 
principles. The European Statistics Code of Practice guides European 
statistical systems by affirming the European Union member nations' 
commitment to ensuring high quality in the statistical production 
process, protecting the confidentiality of the information they 
collect, and disseminating statistics in an objective, professional, 
and transparent manner.\3\ Fifteen principles are identified.
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    \3\ European Statistics Code of Practice for the National and 
Community Statistical Authorities, European Statistical System, 
Adopted September 28, 2011.
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    1. Professional independence of statistical authorities from other 
policy, regulatory or administrative departments and bodies, as well as 
from private sector operators, ensures the credibility of European 
Statistics.
    2. Statistical authorities have a clear legal mandate to collect 
information for European statistical purposes. Administrations, 
enterprises and households, and the public at large may be compelled by 
law to allow access to or deliver data for European statistical 
purposes at the request of statistical authorities.
    3. The resources available to statistical authorities are 
sufficient to meet European Statistics requirements.
    4. Statistical authorities are committed to quality. They 
systematically and regularly identify strengths and weaknesses to 
continuously improve process and product quality.
    5. The privacy of data providers (households, enterprises, 
administrations and other respondents), the confidentiality of the 
information they provide, and uses only for statistical purposes are 
absolutely guaranteed.
    6. Statistical authorities develop, produce and disseminate 
European Statistics respecting scientific independence and in an 
objective, professional and transparent manner in which all users are 
treated equitably.
    7. Sound methodology underpins quality statistics. This requires 
adequate tools, procedures and expertise.
    8. Appropriate statistical procedures, implemented from data 
collection to data validation, underpin quality statistics.
    9. The reporting burden is proportionate to the needs of the users 
and is not excessive for respondents. The statistical authorities 
monitor the response burden and set targets for its reduction over 
time.
    10. Resources are used effectively.
    11. European Statistics meet the needs of users.
    12. European Statistics accurately and reliably portray reality.
    13. European Statistics are released in a timely and punctual 
manner.
    14. European Statistics are consistent internally, over time and 
comparable between regions and countries; it is possible to combine and 
make joint use of related data from different sources.
    15. European Statistics are presented in a clear and understandable 
form, released in a suitable and convenient manner, available and 
accessible on an impartial basis with supporting metadata and guidance.
    The United Nations Fundamental Principles of Official Statistics 
affirm ten fundamental principles that promote and build the 
``essential trust of the public in the integrity of official 
statistical systems and confidence in statistics.'' \4\ These 
principles ensure that national statistical systems in participating 
countries produce high quality and reliable data by adhering to certain 
professional and scientific standards.
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    \4\ Fundamental Principles of Official Statistics, United 
Nations Statistical Commission, adopted April 11-15, 1994. Revised 
preamble adopted February 26-March 1, 2013; adopted July 24, 2013 by 
the United Nations Economic and Social Council; adopted January 29, 
2014 by the United Nations General Assembly (with sponsorship by the 
United States).
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    1. Official statistics provide an indispensable element in the 
information system of a democratic society, serving the Government, the 
economy and the public with data about the economic, demographic, 
social and environmental situation. To this end, official statistics 
that meet the test of practical utility are to be compiled and made 
available on an impartial basis by official statistical agencies to 
honour citizens' entitlement to public information.
    2. To retain trust in official statistics, the statistical agencies 
need to decide according to strictly professional considerations, 
including scientific principles and professional ethics, on the methods 
and procedures for the collection, processing, storage and presentation 
of statistical data.
    3. To facilitate a correct interpretation of the data, the 
statistical agencies are to present information according to scientific 
standards on the sources, methods, and procedures of the statistics.
    4. The statistical agencies are entitled to comment on erroneous 
interpretation and misuse of statistics.
    5. Data for statistical purposes may be drawn from all types of 
sources, be they statistical surveys or administrative records. 
Statistical agencies are to choose the source with regard to quality, 
timeliness, costs and the burden on respondents.
    6. Individual data collected by statistical agencies for 
statistical compilation, whether they refer to natural or legal 
persons, are to be strictly confidential and used exclusively for 
statistical purposes.
    7. The laws, regulations, and measures under which the statistical 
systems operate are to be made public.
    8. Coordination among statistical agencies within countries is 
essential to achieve consistency and efficiency in the statistical 
system.
    9. The use by statistical agencies in each country of international 
concepts, classifications and methods promotes the consistency and 
efficiency of statistical systems at all official levels.
    10. Bilateral and multilateral cooperation in statistics 
contributes to the improvement of systems of official statistics in all 
countries.
    Although these policies and principles provide a common foundation 
for core statistical agency functions, the actual implementation of 
these standards and practices can involve a wide range of managerial 
and technical challenges. Therefore, to support agency decision-making 
in a manner that fosters statistical quality, OMB proposes this 
Statistical Policy Directive. This Directive provides a unified 
articulation of Federal statistical agency responsibilities. The 
framework requires statistical agencies to adopt policies, best 
practices, and appropriate procedures to implement these 
responsibilities. Such a framework also recognizes the essential role 
of Federal Departments in supporting Federal

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statistical agencies as they implement these responsibilities.

Statistical Policy Directive: Fundamental Responsibilities of Federal 
Statistical Agencies and Recognized Statistical Units

    Authority and Purpose: This Directive affirms the fundamental 
responsibilities of the component entities of the Federal Statistical 
System and defines the requirements governing the design, collection, 
processing, editing, compilation, analysis, release, and dissemination 
of statistical information by Federal statistical agencies and 
recognized statistical units. The Directive is issued under the 
authority of the Budget and Accounting Procedures Act of 1950 (31 
U.S.C. 1104(d)) and the Paperwork Reduction Act of 1995 (44 U.S.C. 3504 
(e)).
    Scope: This Directive applies to Federal statistical agencies and 
recognized statistical units--defined in the Implementation Guidance 
for Title V of the E-Government Act, Confidential Information 
Protection and Statistical Efficiency Act of 2002 (CIPSEA 
Implementation Guidance) (72 FR 33362, 33368, June 15, 2007), as well 
as Federal statistical agencies and statistical units newly recognized 
after the issuance of this Directive, as agencies or organizational 
units of the Executive Branch whose principal mission is statistical 
activity.
    Definitions: As defined in Title V of the E-Government Act, 
Confidential Information Protection and Statistical Efficiency Act of 
2002 (CIPSEA) (Pub. L. 107-347, title V; 116 Stat. 2962, Dec. 17, 
2002), statistical activities are the collection, compilation, 
processing, analysis, or dissemination of data for the purpose of 
describing or making estimates concerning the whole, or relevant groups 
or components within, the economy, society, or the natural environment, 
including the development of methods or resources that support those 
activities, such as measurement methods, models, statistical 
classifications, or sampling frames. CIPSEA defines statistical purpose 
as the description, estimation, or analysis of the characteristics of 
groups, without identifying the individuals or organizations that 
comprise such groups; and includes the development, implementation, or 
maintenance of methods, technical or administrative procedures, or 
information resources that support such purposes. As defined in 
Principles and Practices for a Federal Statistical Agency (Principles 
and Practices), relevance means measuring processes, activities, and 
things that matter to policy makers, and public and private sector data 
users.\1\ Objectivity, as defined in Government-wide Information 
Quality Guidelines (Information Quality Guidelines) (67 FR 8453, Jan. 
3, 2002), refers to disseminating information in an accurate, clear, 
complete, and unbiased manner. As defined in Principles and Practices 
(p. 11), accuracy refers to generating statistics that consistently 
match the events and trends being measured. Confidentiality refers to a 
quality or condition of information as an obligation not to transmit 
that information to an unauthorized party.\2\
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    \1\ Principles and Practices for a Federal Statistical Agency, 
National Research Council of the National Academies, Fifth edition, 
Committee on National Statistics, Constance F. Citro and Miron L. 
Straf, Editors, Division of Behavioral and Social Sciences and 
Education. Washington, DC. The National Academies Press, (2013), p. 
11.
    \2\ Private Lives and Public Policies: Confidentiality and 
Accessibility of Government Statistics. Committee on National 
Statistics, Commission on Behavioral and Social Sciences and 
Education, National Research Council and the Social Science Research 
Council, Washington, DC. National Academy Press (1993) p. 22.
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    Introduction: This Directive delineates the fundamental 
responsibilities of Federal statistical agencies and recognized 
statistical units. The responsibilities in this Directive are built 
upon and are consistent with the goals and principles of the Paperwork 
Reduction Act, the Information Quality Act (Pub. L. 106-554, Division 
C, title V, Sec. 515, Dec. 21, 2000; 114 Stat. 2763A-153 to 2763A-154), 
Information Quality Guidelines, CIPSEA, CIPSEA Implementation Guidance, 
the Privacy Act of 1974, the Privacy Act Implementation, Guidelines and 
Responsibilities, Section 208 of the E-Government Act of 2002 (Pub. L. 
107-347, 44 U.S.C. Ch 36, Dec. 17, 2002), OMB's Circular A-130 (revised 
Nov. 28, 2000), the President's Memorandum on the Preservation and 
Promotion of Scientific Integrity (March 9, 2009), the Memorandum for 
the Heads of Executive Departments and Agencies (December 17, 2010) 
issued by the Director of the Office of Science and Technology Policy 
(OSTP Memorandum of December 17, 2010), Standards and Guidelines for 
Statistical Surveys (71 FR 55522, Sept. 22, 2006), Statistical Policy 
Directive No. 3, Compilation, Release, and Evaluation of Principal 
Federal Economic Indicators (Directive 3) (50 FR 38932, Sept. 25, 
1985), Statistical Policy Directive No. 4, Release and Dissemination of 
Statistical Products Produced by Federal Statistical Agencies 
(Directive 4) (73 F.R. 12622-12625, Mar. 7, 2008) and Principles and 
Practices. The responsibilities in this Directive are also consistent 
with the European Statistics Code of Practice \3\ and the United 
Nations Fundamental Principles of Official Statistics.\4\ This 
Directive is not intended to replace current guidance; agencies must 
continue to comply with all applicable laws, regulations, and policies.
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    \3\ European Statistics Code of Practice for the National and 
Community Statistical Authorities, European Statistical System, 
Adopted September 28, 2011.
    \4\ Fundamental Principles of Official Statistics, United 
Nations Statistical Commission, adopted April 11-15, 1994. Revised 
preamble adopted February 26-March 1, 2013; adopted July 24, 2013 by 
the United Nations Economic and Social Council; adopted January 29, 
2014 by the United Nations General Assembly (with sponsorship by the 
United States).
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    The responsibilities delineated in this Directive provide a 
framework that supports Federal statistical policy and serves as a 
foundation for Federal statistical activities, promoting trust among 
statistical agencies, data providers, and data users. Data users rely 
upon an agency's reputation as an objective source of relevant, 
accurate, and objective statistics, and data providers rely upon an 
agency's authority and reputation to honor its pledge to protect the 
confidentiality of their responses. Federal statistical agencies and 
recognized statistical units must adhere to these responsibilities and 
adopt policies, best practices, and appropriate procedures to implement 
them. Federal departments must enable, support, and facilitate Federal 
statistical agencies as they implement these responsibilities.
    Therefore, it is the responsibility of Federal statistical agencies 
and recognized statistical units to produce relevant and timely 
information; conduct credible, accurate, and objective statistical 
activities; and protect the trust of information providers by ensuring 
confidentiality of their responses as described below.\5\
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    \5\ Although the responsibilities of statistical agencies and 
recognized statistical units are numbered here for ease of 
reference, no ranking of importance is implied.
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    Responsibility 1: Produce and disseminate relevant and timely 
information. The core mission of Federal statistical agencies and 
recognized statistical units is to produce relevant and timely 
statistical information to inform decision-makers in governments, 
businesses, institutions, and households. Federal statistical agencies 
and recognized statistical units must be knowledgeable about the issues 
and requirements of programs and policies relating to their subject 
matter. This requires communication and coordination among agencies and

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within and across Departments when planning information collection and 
dissemination activities. In addition, Federal statistical agencies and 
recognized statistical units must seek input regularly from the 
broadest range of private- and public-sector data users, including 
analysts and policy makers within Federal, State, local, tribal, and 
territorial government agencies; academic researchers; and private 
sector businesses and constituent groups. Program and policy-relevant 
information may be directly collected from individuals, organizations, 
or establishments through surveys; administrative records collected and 
maintained by the agency, or other government agencies; datasets 
available from the private sector; or publicly available information 
released on Internet Web sites that meets an agency's quality 
standards. Statistical agencies should be innovative in applying new 
technologies in their methods for collecting, processing, and 
disseminating data to improve the timeliness of their information and 
the efficiency of their operations. (Principles and Practices, pp. 17 
and 53)
    Responsibility 2: Conduct credible and accurate statistical 
activities. Federal statistical agencies and recognized statistical 
units apply sound statistical methods to ensure statistical products 
are accurate. Federal statistical agencies and recognized statistical 
units achieve this by regularly evaluating the data and information 
products they publicly release against the OMB Government-wide 
Information Quality Guidelines as well as their individual agency 
information quality guidelines. Where appropriate, information about 
how the data were collected and any known or potential data limitations 
or sources of error (such as population or market coverage, or 
sampling, measurement, processing, or modeling errors) should be 
described to data users so they can evaluate the suitability of the 
data for a particular purpose. Errata identified after data release 
should be described to data users on an ongoing basis as verified. 
Federal statistical agencies and recognized statistical units must be 
vigilant to seek new methods and adopt new technologies to ensure the 
quality and efficiency of the information they collect and produce. 
(Principles and Practices, pp. 42-43) Data derived from outside sources 
must be described in information products and communication materials 
so that users can use exogenous information appropriately. Federal 
statistical agencies and recognized statistical units must provide 
complete documentation of their dissemination policies and ensure that 
all users have equitable access to data disseminated to the public. 
(Statistical Policy Directive No. 4, 12622 at 12625) Additionally, 
Federal statistical agencies and recognized statistical units must 
periodically review the techniques and procedures used to implement 
their information quality guidelines to keep pace with changes in best 
practices and technology.
    Responsibility 3: Conduct objective statistical activities. It is 
paramount that Federal statistical agencies and recognized statistical 
units produce data that are impartial, clear, and complete and are 
readily perceived as such by the public. The objectivity of the 
information released to the public is maximized by making information 
available on an equitable, policy-neutral, transparent, and timely 
basis. Accordingly, Federal statistical agencies and recognized 
statistical units must function in an environment that is clearly 
separate and autonomous from the other administrative, regulatory, law 
enforcement, or policy-making activities within their Department. 
Specifically, Federal statistical agencies and recognized statistical 
units must be able to conduct statistical activities autonomously when 
determining what information to collect and process, which methods to 
apply in their estimation procedures and data analysis, when and how to 
disseminate their statistical products, and which staff to select to 
join their agencies. Federal statistical agencies and recognized 
statistical units must seek to avoid even the appearance that agency 
collection, analysis, and dissemination processes may be manipulated in 
order to maintain credibility with data providers and users as well as 
the public. The actual and perceived credibility of Federal statistics 
requires assurance that the selection of candidates for statistical 
positions is based primarily on their scientific and technical 
knowledge, credentials, experience, and integrity. Moreover, Federal 
statistical agencies maintain and develop in-house staff that are 
trained in statistical methodology to properly analyze data, and to 
plan, design, and implement core data collection operations. (OMB 
Government-wide Information Quality Guidelines; OSTP Memorandum of 
December 17, 2010; Principles and Practices, p. 70)
    Responsibility 4: Protect the trust of information providers by 
ensuring the confidentiality of their responses. Maintaining and 
enhancing the public's trust in a Federal statistical agency's or 
recognized statistical unit's ability to protect the integrity of the 
information provided under a pledge of confidentiality is essential for 
the completeness and accuracy of statistical information as well as the 
efficiency and burden of its production. Providers of information, such 
as survey respondents, must be able to trust and rely upon the 
information and confidentiality pledges that Federal statistical 
agencies and recognized statistical units provide about the need to 
collect information and its intended use for exclusively statistical 
purposes. Maintaining a consistent level of protection reduces public 
confusion, uncertainty, and concern about the treatment and use of 
reported information. (Order Providing for the Confidentiality of 
Statistical Information, 62 FR 35044 (June 27, 1997)) In addition, 
adopting this consistent approach reduces the cost and reporting burden 
imposed by programs of Federal statistical agencies and recognized 
statistical units. Fostering trust among data providers about a 
statistical agency's authority and ability to protect the 
confidentiality of information promotes higher participation in surveys 
and accurate reporting of information from respondents. Federal 
statistical agencies and recognized statistical units build and sustain 
trust with data providers by maintaining a strong organizational 
climate that safeguards and protects the integrity and confidentiality 
of the data collected, processed, and analyzed to ensure that the 
information is secure against unauthorized access, editing, or 
deletion. Federal statistical agencies and recognized statistical units 
must fully adhere to legal requirements and follow best practices for 
protecting the confidentiality of data, including training their staffs 
and ensuring the physical and information system security of 
confidential information. (CIPSEA Implementation Guidance, 33362 at 
33374)
    These responsibilities serve as a framework for Federal statistical 
policy and the foundation upon which core functions of Federal 
statistical agencies and recognized statistical units are grounded. 
Adherence to these responsibilities ensures that the Federal 
statistical system continues to provide relevant, accurate, objective 
statistics in a manner that honors and maintains the public's trust.

Howard A. Shelanski,
Administrator, Office of Information and Regulatory Affairs.
[FR Doc. 2014-11735 Filed 5-20-14; 8:45 am]
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