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O*NET® Products at Work

The U.S. Department of Labor, Employment and Training Administration introduced the Occupational Information Network (O*NET) to the public in 1998. Since that time, its impact on workforce development, career counseling, educational programming and human resource activities has quickly expanded, both in the U.S. and around the world. O*NET Products at Work provides examples of the widespread use of O*NET OnLine, the O*NET database, the Toolkit for Business, and the O*NET Career Exploration Tools.

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Download a list of books, research papers, and websites referencing O*NET products and tools:

O*NET Reference List (XLSX - 118 KB)

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Profile of the Health Care Industry from Kansas Department of Labor external site

The Kansas Department of Labor used O*NET skills, knowledges, and abilities as a tool in their research for the report, Profile of the Health Care Industry. The report profiles the three health care industry sub-sectors and the occupations within these industries. The goal of the research was to assist workforce development planners and policy makers in decisions aimed at achieving desired turnover and retention rates and to develop necessary training programs.

Welfare to Work Program

The Welfare to Work Program in Pittsburgh, Pennsylvania has developed a set of binders that contain lists of O*NET occupational tasks. Clients hoping to reenter the workforce can compare their previous job experiences to the lists in the binders and select common tasks to include on their resumes. If the client does not find their particular set of skills in the prepared binders, they are referred directly to O*NET OnLine. Using O*NET OnLine, clients find the lists of In Demand occupations to be helpful as well.

The Mid-Valley Special Education Cooperative external site

The Mid-Valley Special Education Cooperative in St. Charles, IL, employs O*NET information throughout its training programs. The school uses O*NET data to match the skills learned by the students with community-based work training opportunities. O*NET work context elements are used to help assess what accommodations may be required in the work environment. The cooperative also focuses on O*NET work styles, developing these soft skills within their training programs. When students are ready to find employment, standard O*NET language is used to develop resumes, including knowledges, skills, abilities, and work styles. external site from external site is an informal career browsing engine dedicated to quick, early analysis of career options. consolidates a variety of O*NET data tables to facilitate career searching based on the user’s personal characteristics. For example, interests can be used as a filtering criteria to show only those careers associated with the user’s interests. There are a number of criteria types to filter on, including personal style, knowledge, and skills, and more generally on salary, expected growth rate, and whether or not a career is considered 'green'. At any point, users can link to any of the O*NET published details for a given career. is intended for use by students and career changers as an initial step in their career search process.

Human Capital and Economic Activity in Urban America external site from Federal Reserve Bank of New York external site

A study by the Federal Reserve Bank of New York titled Human Capital and Economic Activity in Urban America (Abel & Gabe, 2008) examined the relationship between human capital (educational attainment and other knowledge measures) and economic activity in U.S. metropolitan areas. The following is from their study. To arrive at the knowledge variables used in our analysis, we matched occupational categories between the O*NET system and 2000 U.S. Census. In many cases, we combined multiple O*NET occupations into a single Census category. Following the general approach used by Ingram and Neumann (2006) and Lakdawalla and Philipson (2007), we utilized the average value of the knowledge importance or level across multiple occupations in the O*NET data. With this information then available for 470 Census occupations, we calculated a knowledge index that is the product of the knowledge importance and the knowledge level. Feser (2003) used the same approach, noting that it places a greater emphasis on high knowledge that is relevant to a given occupation.

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