O*NET's 2023 Updates: Adding More BLS Data
About
ETA’s Occupational Information Network (O*NET) project has implemented the following updates.
O*NET Database and Websites Updates
The O*NET 28.0 and 28.1 Database releases contain the following:
- 90 occupations with data from job incumbents and occupational experts. This type of data is available for a total of 853 O*NET-SOC occupations.
- Updates Detailed Work Activities (DWAs) for 65 occupations.
- RIASEC Occupational Interest Profiles (OIPs) and high-point codes for all 923 data-level occupations were developed using machine learning.
- An updated listing of 162 “Hot Technologies,” based on employer job postings from across all occupations, resulted in 11,400+ occupation linkages.
- Updated “In Demand” technology skill designations, based on employer job postings from within each occupation, led to approximately 2,500 “In Demand” skill linkages across 489 occupations.
- 90+ new technology skill linkages related to 75 occupations were identified from employer job postings.
- 450+ alternate titles related to 237 occupations were added from a review of Registered Apprenticeship Programs (RAPs), customer input, and other sources.
- This new data is incorporated within My Next Move, Mi Próximo Paso, My Next Move for Veterans, and O*NET OnLine.
Updated BLS Information Included in O*NET Websites
The Bureau of Labor Statistics (BLS) released updated employment totals and projections for 2022–2032. This information is now included within O*NET OnLine, My Next Move, Mi Próximo Paso, and My Next Move for Veterans. The updated information is incorporated within the Bright Outlook feature included within the O*NET sites. This updated information is also incorporated into:
- ETA’s CareerOneStop
- BLS’ Occupational Outlook Handbook (OOH)
- O*Net’s Occupation Handbook Crosswalk Search
The worker- and job-oriented framework can help in organizing workforce competencies, credentials, and other work-relevant information, and also serve as a starting point for creating skills thesauruses. Visit the Competency Frameworks section to discover these easy-to-use tools.
The frameworks are available in Excel format and also as machine-readable Linked Data, described using the CTDL-ASN schema (Credential Transparency Description Language Profile of Achievement Standards Network Description Language) developed by the Credential Engine project.
For a summary of O*NET machine-discoverable data see Link to Us.
See O*NET Online crosswalks for more information and search features.
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- Posted by: Damon Jones
- Posted in: LMI Central