Since 1992, the Committee on National Statistics (CNSTAT) has produced a book on principles and practices for a federal statistical agency, updating the document every 4 years to provide a current edition to newly appointed cabinet secretaries at the beginning of each presidential administration. This third edition presents and comments on three basic principles that statistical agencies must embody in order to carry out their mission fully: (1) They must produce objective data that are relevant to policy issues, (2) they must achieve and maintain credibility among data users, and (3) they must achieve and maintain trust among data providers. The book also discusses 11 important practices that are means for statistical agencies to live up to the four principles. These practices include a commitment to quality and professional practice and an active program of methodological and substantive research.

Since 1992, the Committee on National Statistics (CNSTAT) has produced a book on principles and practices for a federal statistical agency, updating the document every 4 years to provide a current edition to newly appointed cabinet secretaries at the beginning of each presidential administration. This fourth edition presents and comments on four basic principles that statistical agencies must embody in order to carry out their mission fully: (1) They must produce objective data that are relevant to policy issues, (2) they must achieve and maintain credibility among data users, (3) they must achieve and maintain trust among data providers, and (4) they must achieve and maintain a strong position of independence from the appearance and reality of political control. The book also discusses 11 important practices that are means for statistical agencies to live up to the four principles. These practices include a commitment to quality and professional practice and an active program of methodological and substantive research. This fourth edition adds the principle that statistical agencies must operate from a strong position of independence and the practice that agencies must have ongoing internal and external evaluations of their programs.

The Committee on National Statistics (CNSTAT) convened a workshop on November 4-5, 1999, to identify new directions for health statistics and the implications for health data of changes in the health arena faced by DHHS; state and local health departments; the consumers, developers, and providers of health care products and services; and other health policy makers. Changes in our understanding of health, in health care (managed care, Medicaid, Medicare), in welfare reform, in federal-state relations, in the availability of administrative data, in advanced genetic data, in information technology, in confidentiality issues, and in data integration are examples of recent developments that may play a significant role for DHHS in making future policy decisions.

The past decade has demonstrated the utility of SESTAT, but the SESTAT design shows some deficiencies with respect to response rates, coverage of populations of interest, and its ability to support some useful analyses. To tackle those deficiencies, NSF has proposed three possible design options for improving the database and asked the National Research Council's Committee on National Statistics (CNSTAT) to form the Committee to Review the 2000 Decade Design of the SESTAT. This is the report of that committee. It presents our understanding of the purposes and characteristics of the SESTAT, applies the criteria we believe are important for assessing design options for the database, provides our recommendation for the best approach to adopt in the 2000 decade, and offers our encouragement to NSF to pursue opportunities to improve the understanding of the numbers and characteristics of scientists and engineers in the United States.

The National Science Foundation (NSF) has long collected information on the number and characteristics of individuals with education or employment in science and engineering and related fields in the United States. An important motivation for this effort is to fulfill a congressional mandate to monitor the status of women and minorities in the science and engineering workforce. Consequently, many statistics are calculated by race or ethnicity, gender, and disability status. For more than 25 years, NSF obtained a sample frame for identifying the target population for information it gathered from the list of respondents to the decennial census long-form who indicated that they had earned a bachelors or higher degree. The probability that an individual was sampled from this list was dependent on both demographic and employment characteristics. But, the source for the sample frame will no longer be available because the census long-form is being replaced as of the 2010 census with the continuous collection of detailed demographic and other information in the new American Community Survey (ACS). At the request of NSF's Science Resources Statistics Division, the Committee on National Statistics of the National Research Council formed a panel to conduct a workshop and study the issues involved in replacing the decennial census long-form sample with a sample from the ACS to serve as the frame for the information the NSF gathers. The workshop had the specific objective of identifying issues for the collection of field of degree information on the ACS with regard to goals, content, statistical methodology, data quality, and data products.

The National School Lunch and School Breakfast Programs, administered by the Food and Nutrition Service (FNS) of the U.S. Department of Agriculture (USDA), are key components of the nation's food security safety net, providing free or low-cost meals to millions of schoolchildren each day. To qualify their children each year for free or reduced-price meals, many families must submit applications that school officials distribute and review. To reduce this burden on families and schools and to encourage more children to partake of nutritious meals, USDA regulations allow school districts to operate their meals programs under special provisions that eliminate the application process and other administrative procedures in exchange for providing free meals to all students enrolled in one or more school in a district. FNS asked the National Academies' Committee on National Statistics and Food and Nutrition Board to convene a panel of experts to investigate the technical and operational feasibility of using data from the continuous American Community Survey (ACS) to estimate students eligible for free and reduced-price meals for schools and school districts. The ACS eligibility estimates would be used to develop "claiming percentages" that, if sufficiently accurate, would determine the USDA reimbursements to districts for schools that provided free meals to all students under a new special provision that eliminated the ongoing base-year requirements of current provisions. Using American Community Survey Data to Expand Access to the School Meals Program was conducted in two phases. It first issued an interim report (National Research Council, 2010), describing its planned approach for assessing the utility of ACS-based estimates for a special provision to expand access to free school meals. This report is the final phase which presents the panel's findings and recommendations.

Publicly available statistics from government agencies that are credible, relevant, accurate, and timely are essential for policy makers, individuals, households, businesses, academic institutions, and other organizations to make informed decisions. Even more, the effective operation of a democratic system of government depends on the unhindered flow of statistical information to its citizens. In the United States, federal statistical agencies in cabinet departments and independent agencies are the governmental units whose principal function is to compile, analyze, and disseminate information for such statistical purposes as describing population characteristics and trends, planning and monitoring programs, and conducting research and evaluation. The work of these agencies is coordinated by the U.S. Office of Management and Budget. Statistical agencies may acquire information not only from surveys or censuses of people and organizations, but also from such sources as government administrative records, private-sector datasets, and Internet sources that are judged of suitable quality and relevance for statistical use. They may conduct analyses, but they do not advocate policies or take partisan positions. Statistical purposes for which they provide information relate to descriptions of groups and exclude any interest in or identification of an individual person, institution, or economic unit. Four principles are fundamental for a federal statistical agency: relevance to policy issues, credibility among data users, trust among data providers, and independence from political and other undue external influence. Principles and Practices for a Federal Statistical Agency: Fifth Edition explains these four principles in detail.

Since 1992, the Committee on National Statistics (CNSTAT) has produced a book on principles and practices for a federal statistical agency, updating the document every 4 years to provide a current edition to newly appointed cabinet secretaries at the beginning of each presidential administration. This second edition presents and comments on three basic principles that statistical agencies must embody in order to carry out their mission fully: (1) They must produce objective data that are relevant to policy issues, (2) they must achieve and maintain credibility among data users, and (3) they must achieve and maintain trust among data providers. The book also discusses 11 important practices that are means for statistical agencies to live up to the four principles. These practices include a commitment to quality and professional practice and an active program of methodological and substantive research.