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)
To identify O*NET KSAs and work values that relate to deeper learning competencies across a variety of jobs and to determine whether or not occupations' Job Zones and Bright Outlook status relate to the six most prominent learning competencies.
A career intervention was conceived based on O*NET for use in India. The intervention orientated career decision makers based on the O*NET’s taxonomy and navigated them to suitable careers based on a multi trait assessment based on the worker characteristics data in O*NET database. In an empirical evaluation with post-graduate management students effectiveness of the career intervention in reducing career decision-making difficulties was presented. Cultural variables were also explored which offered insights on O*NET's usage in a different culture.
Using the Department of Labor's My Next Move to Improve Career Preparedness from Journal of Management Education, Vol. 41
This research uses a pretest/post test design with a treatment group and a control group to determine if an exercise based on My Next Move improves career preparedness. Results show that the exercise produces significant increases in career awareness and in perceived career preparedness skills. The positive results indicate that this tool can help students be more knowledgeable about their career options after graduation. This paper can help instructors use the My Next Move exercise to help students in their job search process.
MI Advantage from Human eSources
MI Advantage™ from Human eSources reveals career options based on students’ multiple intelligences profiles. Students can research occupations and college majors then save notes and rate careers in their portfolio using the O*NET Database. The 15-minute assessment and report are written and normalized for students from 8th grade to college.
Do What You Are from Human eSources
Do What You Are® from Human eSources identifies a student’s personality type and matches their results to careers of interest that make the most of their natural talents. Students can research occupations and college majors then save notes and rate careers in their portfolio using the O*NET Database. The 15-minute assessment and report are written and normalized for students from 9th grade to college.
GetMyFuture from CareerOneStop
CareerOneStop, sponsored by the U.S. Department of Labor, has launched the mobile-friendly portal GetMyFuture. The site incorporates the O*NET Mini Interest Profiler and O*NET occupation data to assist users in finding careers they like, as well as entry-level jobs that match their interests. The portal also provides a comprehensive set of resources for job training, job searches, job application and resume preparation, and tutorials to prepare job seekers for interviewing and beginning work in their new jobs.
Computerization and the Future of Jobs in Norway from The Research Institute of the Finnish Economy
O*NET task statements provided the foundation for a study on the effect of computerization on the future of jobs in Norway. Researchers evaluated tasks from 903 O*NET occupations to determine the susceptibility of jobs to technological innovation: whether or not computers could perform tasks more inexpensively and with comparable quality to human performance.
Classifying US Army Military Occupational Specialties Using the Occupational Information Network from Army STARRS
The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) research team conducted a study to classify US Army Military occupational specialties with data on the 246 O*NET descriptors. The purpose was to derive scales to study the effects of job conditions on soldier health and job functioning across Army Military Occupation Specialties (MOSs) and Areas of Concentration (AOCs). The team found that O*NET classifications apply effectively to Army MOS/AOCs, enabling a greater understanding of the impact of military job characteristics to soldier outcomes such as job satisfaction, work performance, and health.
HRTMS, a developer of job information and description management software, uses the O*NET occupational taxonomy and Lay Titles database within its collaborative job description tool. A human resources professional begins the job description process by matching the job’s title to an O*NET Lay Title. The system then compiles task information for the O*NET occupation linked to that title, providing a descriptive foundation for collaboration with managers and training and development partners in tailoring the job description to the company’s needs.
In its academic advising journal, The Mentor, the Pennsylvania State University Division of Undergraduate Studies describes O*NET OnLine as a valuable academic advising tool. It explains use of the Occupation Quick Search to find occupations related to specific academic disciplines. For example, a student or advisor can type in “psychology major” to return a list of occupations rank-ordered by relevance to that discipline. Use of O*NET OnLine is also applied to the Bates “Ask Questions” activity, in which students are asked questions about their favorite and least-favorite classes, favorite pastimes, and length of time they are willing to go to school. Responses to these questions provide the basis for O*NET OnLine searches, which can produce occupation results based on students’ course preferences, education-level preferences, personal styles, or values.
The California CareerZone (www.cacareerzone.org) includes O*NET assessment tools and the O*NET occupational taxonomy to assist students contemplating college or career. Users may assess their interests, skills, and work values with the O*NET Interest Profiler, Skills Search, and Work Importance Profiler. They may explore and compare occupations by browsing O*NET Job Families and selecting occupations to compare on Job Zone and primary Interest area, as well as on salary, projected growth, and possible college majors. The California CareerZone, part of the California Career Resource Network, is linked from the sites of One Stop Centers throughout the state.
OwlGuru.com from OwlGuru.com
OwlGuru.com is using O*NET data to help students to find a career that is right for them based on the RIASEC model. Additional filters like salary and education level are used.
The Growing Importance of Social Skills in the Labor Market from National Bureau of Economic Research
David Deming, associate professor of education and economics at Harvard University conducted a study of social skills in the workplace. He demonstrates that high-paying, difficult-to-automate jobs increasingly require social skills. Nearly all job growth since 1980 has been in occupations that are relatively social-skill intensive, while jobs that require high levels of analytical and mathematical reasoning, but low levels of social interaction, jobs that are comparatively easy to automate, have fared comparatively poorly. Using O*NET data about the tasks and abilities that occupations require, he measured the economic return of social skills, after controlling for factors like cognitive skill, years of education and occupation.
Economic Modeling Specialists Intl. created a compatibility index (based on O*NET and a proprietary algorithm) to help assess whether or not two or more occupations match up in terms of required knowledge, skills, and abilities. In the article, "Three Scenarios Where Transferable Skills Data Helps Workforce Boards Get People Back to Work", they outline how this data can be valuable in three common scenarios: When a factory, plant, or other large employer shuts down, creating a high volume of dislocated workers. When a worker decides to transition into a new career. When a jobseeker is considering the pursuit of a particular career.
Texas State Technical College launched the Center for Employability Outcomes. The center is largely built around the Common Skills Language Project, that originated at the Texas Workforce Commission using O*NET data. In an effort to get employers, educators and policymakers on the same page for the purposes of economic development planning, the commission began amassing simple, industry-vetted descriptions of skills sought by employers in Texas.
The Texas Workforce Commission has developed the Detailed Work Activity (DWA) Common Language Project. The O*NET DWA library was the point of departure for the Texas common language initiative. A white paper that documents the underlying philosophies of the project can be found on the site. The document describes the various skills databases that have been developed, the talent management context within which this initiative was originated, and the many potential applications for the DWA data sets. It is written to describe the administrative processes thus far undertaken in Texas to bring a universal skill transferability system to fruition, and to stimulate further thinking about the role of skills in assessing the relationship between worker capabilities and employer hiring requirements.
The SkillsEngine based on the O*NET Content Model, was developed by the Center for Employability Outcomes at Texas State Technical College. The beta version quickly translates text into high quality skills data for any application using the new Competency API.
The Pennsylvania Department of Labor and Industry has used O*NET skills data to create the Job Skills Currency Calculator. The calculator finds the estimated monetary value of a job skill in occupations. Skills are categorized into four useful groups that can aid in training and career planning and transitions. The four types of job skills used are: Knowledge Areas, General Work Activities, Detail Work Activities, and Tools & Technologies.
The U. S. Department of Commerce Economics and Statistics Administration used data from the O*NET database for a report on the growing importance of data in the economy. The report identifies occupations where data analysis and processing are central to the work performed and measures the size of employment and earnings in these occupations, as well as in the industries that have the highest concentration of these data occupations.
Texas Cares was developed by the Texas Workforce Commission/Career Development Resources (TWC/CDR) to help dislocated workers transition to new careers. The system includes O*NET Career Exploration Tools, Texas labor market information and integrates skills standards and job analyses to meet the needs of the business community.