Designed to protect the privacy of individual student test scores, grades, and other education records, the Family Educational Rights and Privacy Act (FERPA) of 1974 places limits the access of educational researches, and slows research not only in education but also in related fields, such as child welfare and health. Recent trends have converged to greatly increase the supply of data on student performance in public schools. Education policies now emphasize education standards and testing to measure progress toward those standards, as well as rigorous education research. At the same time, private firms and public agencies, including schools, have replaced most paper records with electronic data systems. Although these databases represent a rich source of longitudinal data, researchers' access to the individually identifiable data they contain is limited by the privacy protections of FERPA. To explore possibilities for data access and confidentiality in compliance with FERPA and with the Common Rule for the Protection of Human Subjects, the National Academies and the American Educational Research Association convened the Workshop on Protecting Student Records and Facilitating Education Research in April 2008.

Designed to protect the privacy of individual student test scores, grades, and other education records, the Family Educational Rights and Privacy Act (FERPA) of 1974 places limits the access of educational researches, and slows research not only in education but also in related fields, such as child welfare and health. Recent trends have converged to greatly increase the supply of data on student performance in public schools. Education policies now emphasize education standards and testing to measure progress toward those standards, as well as rigorous education research. At the same time, private firms and public agencies, including schools, have replaced most paper records with electronic data systems. Although these databases represent a rich source of longitudinal data, researchers' access to the individually identifiable data they contain is limited by the privacy protections of FERPA. To explore possibilities for data access and confidentiality in compliance with FERPA and with the Common Rule for the Protection of Human Subjects, the National Academies and the American Educational Research Association convened the Workshop on Protecting Student Records and Facilitating Education Research in April 2008.

The aging of the population of the United States is occurring at a time of major economic and social changes. These economic changes include consideration of increases in the age of eligibility for Social Security and Medicare and possible changes in benefit levels. Furthermore, changes in the social context in which older individuals and families function may well affect the nature of key social relationships and institutions that define the environment for older persons. Sociology offers a knowledge base, a number of useful analytic approaches and tools, and unique theoretical perspectives that can facilitate understanding of these demographic, economic, and social changes and, to the extent possible, their causes, consequences and implications. New Directions in the Sociology of Aging evaluates the recent contributions of social demography, social epidemiology and sociology to the study of aging and identifies promising new research directions in these sub-fields. Included in this study are nine papers prepared by experts in sociology, demography, social genomics, public health, and other fields, that highlight the broad array of tools and perspectives that can provide the basis for further advancing the understanding of aging processes in ways that can inform policy. This report discusses the role of sociology in what is a wide-ranging and diverse field of study; a proposed three-dimensional conceptual model for studying social processes in aging over the life cycle; a review of existing databases, data needs and opportunities, primarily in the area of measurement of interhousehold and intergenerational transmission of resources, biomarkers and biosocial interactions; and a summary of roadblocks and bridges to transdisciplinary research that will affect the future directions of the field of sociology of aging.

Disparities in educational attainment among population groups have characterized the United States throughout its history. Education is sometimes characterized as the "great equalizer," but to date, the country has not found ways to successfully address the adverse effects of socioeconomic circumstances, prejudice, and discrimination that suppress performance for some groups. To ensure that the pursuit of equity encompasses both the goals to which the nation aspires for its children and the mechanisms to attain those goals, a revised set of equity indicators is needed. Measures of educational equity often fail to account for the impact of the circumstances in which students live on their academic engagement, academic progress, and educational attainment. Some of the contextual factors that bear on learning include food and housing insecurity, exposure to violence, unsafe neighborhoods, adverse childhood experiences, and exposure to environmental toxins. Consequently, it is difficult to identify when intervention is necessary and how it should function. A revised set of equity indicators should highlight disparities, provide a way to explore potential causes, and point toward possible improvements. Monitoring Educational Equity proposes a system of indicators of educational equity and presents recommendations for implementation. This report also serves as a framework to help policy makers better understand and combat inequity in the United States' education system. Disparities in educational opportunities reinforce, and often amplify, disparities in outcomes throughout people's lives. Thus, it is critical to ensure that all students receive comprehensive supports that level the playing field in order to improve the well-being of underrepresented individuals and the nation.

Information about the characteristics of jobs and the individuals who fill them is valuable for career guidance, reemployment counseling, workforce development, human resource management, and other purposes. To meet these needs, the U.S. Department of Labor (DOL) in 1998 launched the Occupational Information Network (O*NET), which consists of a content model-a framework for organizing occupational data-and an electronic database. The O*NET content model includes hundreds of descriptors of work and workers organized into domains, such as skills, knowledge, and work activities. Data are collected using a classification system that organizes job titles into 1,102 occupations. The National Center for O*NET Development (the O*NET Center) continually collects data related to these occupations. In 2008, DOL requested the National Academies to review O*NET and consider its future directions. In response, the present volume inventories and evaluates the uses of O*NET; explores the linkage of O*NET with the Standard Occupational Classification System and other data sets; and identifies ways to improve O*NET, particularly in the areas of cost-effectiveness, efficiency, and currency.

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.

Broadband is the great infrastructure challenge of the early 21st century. Broadband is a foundation for economic growth, job creation, global competitiveness and a better way of life. The number of Americans who have broadband at home has grown from 8 million in 2000 to nearly 200 million last year. But. 100 million Americans do not have broadband at home. In early 2009, Congress directed the FCC to develop a National Broadband Plan to ensure that every American has ¿access to broadband capability.¿ This plan must also include a strategy for achieving affordability and maximizing use of broadband. The plan presented here ensures that the entire broadband ecosystem ¿ networks, devices, content and applications¿ is healthy. Illus.