The O*NET Program periodically highlights groups of occupations or taxonomies to support initiatives from the U.S. Department of Labor. These projects are described below.
The National Center for O*NET Development has identified "Bright Outlook" occupations, where new job opportunities are likely in the next several years. Bright Outlook occupations are expected to grow rapidly in the next several years, or will have large numbers of job openings.
Every Bright Outlook occupation matches at least one of the following criteria:
Bright Outlook occupations were initially identified in 2010, using the BLS 2008-2018 employment projections. The list was last revised in 2020, using 2019-2029 projections. These projections do not include impacts of the COVID-19 pandemic and response efforts. For more information, see the BLS summary
Bright Outlook occupations are indicated throughout O*NET OnLine, My Next Move, Mi Próximo Paso, and My Next Move for Veterans. Look for the sun icon () to find occupations where job opportunities are likely in the next several years.
The Browse Bright Outlook feature within O*NET OnLine allows the user to focus in on occupations with high growth or a high number of projected job openings. For each Bright Outlook occupation, the user can view a Summary Report with key details. My Next Move, Mi Próximo Paso, and My Next Move for Veterans also provide the user with easy access to the Bright Outlook careers, so that new job seekers, students, and other career explorers can learn more about promising career opportunities.
My Next Move, Mi Próximo Paso, and My Next Move for Veterans include a career outlook designation for all careers. Each career is listed as having a “Bright,” “Average,” or “Below Average” outlook, based on the Bright Outlook criteria and projected growth from the Bureau of Labor Statistics. Full details are available at About My Next Move.
The O*NET Content Model includes worker- and job-oriented hierarchical taxonomies that can effectively serve as frameworks for organizing workforce competencies, credentials, and other work-relevant information. See below to discover a variety of easy-to-use competency frameworks, including Technology Skills, Abilities, Cross-Functional Skills, Basic Skills, and Knowledge.
The frameworks are available in Excel format and also as JSON-LD: machine-readable Linked Data
external site described using the CTDL-ASN
external site schema (Credential Transparency Description Language Profile of Achievement Standards Network Description Language) developed by the Credential Engine
external site project.
This file contains the hierarchy of Knowledge competencies from the O*NET Content Model.
Includes the framework from the Content Model Reference file and data from the Knowledge file.
This file contains the hierarchy of Basic Skills competencies from the O*NET Content Model.
Includes the framework from the Content Model Reference file and data from the Skills file.
This file contains the hierarchy of Cross-Functional Skills competencies from the O*NET Content Model.
This file contains the hierarchy of Abilities competencies from the O*NET Content Model.
Includes the framework from the Content Model Reference file and data from the Abilities file.
This file contains Technology Skills associated with O*NET-SOC occupations, organized by the United Nations Standard Products and Services Code (UNSPSC).
Includes the framework from the UNSPSC Reference file and data from the Technology Skills file.
This file contains the hierarchy of Work Activities competencies, including generalized, intermediate, and detailed work activities. Linked occupation-specific tasks from across occupations are provided as illustrative or “task examples” related to the activities.
Includes the framework from the Content Model Reference, IWA Reference, and DWA Reference files and data from the Work Activities and Tasks to DWAs files.
During the current COVID pandemic, schools, teachers, students, families, and businesses often rely on a wide variety of emerging technologies to navigate the challenges of decentralized education and work environments. The National Center for O*NET Development has identified over 50 technology skills related to distance learning and remote training.
Related technology skills have been identified in the following categories:
All of these technology skills, and their corresponding occupation linkages, are incorporated within the occupation and career reports included in the O*NET websites (O*NET OnLine; My Next Move; My Next Move for Veterans; Mi Próximo Paso). They may also be found in the Technology Skills file in the O*NET Database, or accessed via O*NET Web Services.
The availability and use of distance learning and remote training technologies will likely continue to expand. To provide additional suggestions to the initial 50-plus identified skills, please contact O*NET Customer Service (email@example.com).
The National Center for O*NET Development, as part of its efforts to keep up with the changing world of work, investigated the impact of green economy activities and technologies on occupational requirements and the development of New and Emerging (N&E) occupations. Results of the research led to the identification of green economic sectors, green increased demand occupations, green enhanced skills occupations, and green new and emerging (N&E) occupations.
Major work activities of the green economy cover a broad spectrum. To efficiently and effectively determine the potential occupational implications of green technology, workplace activities were categorized under different green economy sectors.
The impact of green economy activities and technologies is rapidly changing the world of work by affecting worker requirements and occupational demand. A multi-stage research and screening process identified occupations in three general categories, each describing different consequences of green economy activities and technologies on occupational performance: