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An annotated guide to information sources.
Skilled technical occupationsâ€"defined as occupations that require a high level of knowledge in a technical domain but do not require a bachelor's degree for entryâ€"are a key component of the U.S. economy. In response to globalization and advances in science and technology, American firms are demanding workers with greater proficiency in literacy and numeracy, as well as strong interpersonal, technical, and problem-solving skills. However, employer surveys and industry and government reports have raised concerns that the nation may not have an adequate supply of skilled technical workers to achieve its competitiveness and economic growth objectives. In response to the broader need for policy information and advice, Building America's Skilled Technical Workforce examines the coverage, effectiveness, flexibility, and coordination of the policies and various programs that prepare Americans for skilled technical jobs. This report provides action-oriented recommendations for improving the American system of technical education, training, and certification.
Find wide range of occupational information within a variety of applications ranging from job placement to occupational research, career guidance, labor market information, curricula development, and long range job planning.
Various editions of the Dictionary of Occupational Titles have served as the Employment Service's basic tool for matching workers and jobs. The Dictionary of Occupational Titles has also played an important role in establishing skill and training requirements and developing Employment Service testing batteries for specific occupations. However, the role of the Dictionary of Occupational Titles has been called into question as a result of planned changes in the operation of the Employment Service. A plan to automate the operations of Employment Service offices using a descriptive system of occupational keywords rather than occupational titles has led to a claim that a dictionary of occupational titles and the occupational research program that produces it are outmoded. Since the automated keyword system does not rely explicitly on defined occupational titles, it is claimed that the new system would reduce costs by eliminating the need for a research program to supply the occupational definitions. In light of these considerations, the present volume evaluates the future need for the Dictionary of Occupational Titles.
Makes correlations between success and geography, explaining how such rising centers of innovation as San Francisco and Austin are likely to offer influential opportunities and shape the national and global economies in positive or detrimental ways.
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.