Occupational Information Network

Occupational Information Network
Name	Occupational Information Network
Abbreviation	O*NET
Formation	1998
Type	Database
Headquarters	National Center for O*NET Development
Location	Princeton, New Jersey
Parent organization	United States Department of Labor

Contents

Occupational Information Network

The Occupational Information Network is a national database for occupational information that supports United States Department of Labor programs, Employment and Training Administration, National Center for O*NET Development, and numerous state workforce agencies and private sector stakeholders. It provides standardized descriptors used by Bureau of Labor Statistics, Office of Personnel Management, CareerOneStop, Goodwill Industries International, and educational institutions such as Princeton University, Harvard University, and Stanford University for career exploration, workforce planning, and research. The database replaced legacy systems used by agencies including Dictionary of Occupational Titles and integrates with tools developed by vendors like Burning Glass Technologies and LinkedIn.

Overview and Purpose

O*NET's primary purpose is to describe occupations in terms of skills, knowledge, abilities, work activities, and job characteristics to aid Employment and Training Administration policies, Bureau of Labor Statistics projections, and Office of Personnel Management classification. It serves practitioners at state workforce agencies, vocational rehabilitation providers, career counselors at institutions such as Columbia University and University of Michigan, and developers at firms like IBM and Microsoft who build labor market applications. Agencies including Pew Research Center, RAND Corporation, and Urban Institute use the data for applied research on job transitions, automation, and training program evaluation.

Development began in the 1990s with funding and oversight from the United States Department of Labor and technical support from contractors and research partners such as RAND Corporation, Westat, and Kessler International. The project was informed by prior works including the Dictionary of Occupational Titles and the Standard Occupational Classification system maintained by Office of Management and Budget. Major milestones include the 2001 public release, iterative revisions sponsored by Employment and Training Administration, and updates aligning with Bureau of Labor Statistics data releases and federal initiatives like the Workforce Innovation and Opportunity Act. Collaborations have involved academic centers at Cornell University, Georgetown University Center on Education and the Workforce, and University of California, Berkeley.

The database organizes occupations into taxonomies linked to the Standard Occupational Classification codes and includes domains such as Worker Characteristics, Worker Requirements, Experience Requirements, Occupational Requirements, and Labor Market Information. Data elements reference frameworks developed by entities like International Labour Organization standards and crosswalks to classification systems used by Bureau of Labor Statistics and Office of Management and Budget. The system includes occupation-specific descriptors used by Veterans' Employment and Training Service, Social Security Administration, and private workforce platforms created by Indeed, Glassdoor, and Burning Glass Technologies.

O*NET collects data via incumbent worker surveys, employer panels, and expert panels coordinated with contractors such as Westat and research partners including RAND Corporation and university research centers like Pennsylvania State University. Methodological frameworks borrow from psychometric practices at American Psychological Association standards and involve validation steps used by National Research Council panels. Data are periodically updated using sampling consistent with Bureau of Labor Statistics occupational employment statistics and cross-validated with administrative records from United States Census Bureau programs and American Community Survey outputs.

Practitioners apply O*NET descriptors in human resources systems at corporations such as General Electric, Walmart, and Amazon for job analysis, in higher education program design at University of Pennsylvania and Massachusetts Institute of Technology for curriculum alignment, and in public workforce programs implemented by State Workforce Agencies and nongovernmental organizations like Goodwill Industries International. Researchers at Harvard Kennedy School, Brookings Institution, and National Bureau of Economic Research use the data to study automation impacts, skill polarization, and labor mobility. The data underpins tools in occupational licensing reform, veteran employment services, and software by vendors like SAP and Oracle.

Critics from academic centers including Brookings Institution and National Academy of Sciences note limitations in timeliness, granularity, and coverage of emerging occupations tied to technological change observed by researchers at MIT Media Lab and Carnegie Mellon University. Labor economists such as those at IZA Institute of Labor Economics and Columbia Business School argue that incumbent surveys may underrepresent informal work and gig economy roles documented by organizations like Upwork and Uber Technologies, Inc.. Other limitations cited by policy analysts at Economic Policy Institute and Center for American Progress include potential bias in crosswalks to Standard Occupational Classification and challenges integrating real-time labor market data from private platforms such as LinkedIn and Indeed.

Category:United States Department of Labor