Expressing the O*NET Content Model by 9oZ5rM



Overview of O*NET Data
Collection and Activities
              OIDAP Meeting
                  Phil M. Lewis
                 David R. Rivkin
     National Center for O*NET Development

                  Pam Frugoli
   Employment and Training Administration, DOL

                   May 4, 2011

Goals of the Update Briefing

• Overview of O*NET Project
• Data Collection Program
  – Address OIDAP Questions
• Products & Tools
• O*NET Users
• Special Projects

OIDAP Questions
• Please describe how the O*NET data collection strategy builds upon
  the BLS Occupational Employment Statistics (OES) database.
• Are you still using Dun & Bradstreet data to find establishments?
  Were OES data not able to accomplish this, or is it an efficiency
• What was the original balance between the Establishment Method
  and the Occupational Expert Method for populating the O*NET
  database? Has that changed now that you are in maintenance mode?
  How are the occupational experts identified?
• Can you describe the role of the state workforce development offices
  in data collection for O*NET? Has this changed over time?
• Why did O*NET decide not to use field analysts to collect the data on

OIDAP Questions (cont.)
• What are the major challenges associated with identifying employees in
  specific occupations to observe in the field?
• How do Detailed Work Activities differ from Generalized Work Activities
  in the O*NET? How were they empirically derived?
• We understand that a rule of thumb for statistical sufficiency was set at
  15 observations for each domain. Are you still satisfied with that
• Are you planning any changes in procedure or content as a result of the
  recent review of O*NET by the National Research Council?
• How might your sampling parameters change if the results were subject
  to legal challenge?
• What advice do you have for SSA as they begin to develop an OIS for
  disability adjudication purposes?

Overview of O*NET Project

Why O*NET?
 1980 Work, Jobs, and Occupations: a Critical Review of the
      Dictionary of Occupational Titles (National Research
 1993 Final report of the Advisory Panel on the DOT
 1999 The Changing Nature of Work: Implications for
      Occupational Analysis
 2000 O*NET Data Collection Program Survey Pretest
 2001 Official OMB approved O*NET data collection
      using the O*NET survey questionnaires initiated

O*NET Project Team

• U.S. Department of Labor, Employment &
  Training Administration
• National Center for O*NET Development
  – North Carolina Employment Security
    • RTI; MCNC; HumRRO; NC State University; Maher
      & Maher

National Center for O*NET
  – Data Collection
  – Dissemination
  – Implementation
  – Research and Development
  – Technical Assistance/Customer Support

What is O*NET?

• A “common language” and dynamic
  system for describing the world of work for
  both the public and private sectors

• A comprehensive system for collecting
  and disseminating information on
  occupational and worker requirements

What is O*NET?
• Flexible competency-based system with
  emphasis on skills transferability

• Framework for organizing job and worker

• Data on occupations covering the entire U.S.

What is O*NET?

• Uses information technologies to facilitate
  the collection, storage, and distribution of
  quality data

• A resource for businesses, educators, job
  seekers, HR professionals, and publicly
  funded government programs

O*NET Structure

• The O*NET-SOC Occupational
• The O*NET Content Model


• SOC mandated by US Office of
  Management and Budget
• Developed by multi-agency initiative

 Key characteristics of U.S. SOC

• Structured for comparability

• Unified classification structure

• Four hierarchical levels to enable data
  collectors to choose a level of detail
  corresponding to their needs and ability to
  collect data on different occupations


• O*NET-SOC is a SOC based classification
  that provides a greater level of detail as
  – O*NET-SOC 2010 taxonomy released December 2010
  – Currently data collected on 974 O*NET-SOCs
     • Adds 269 more specific occupations
         – New and emerging
         – Different tasks and KSAs

O*NET Content Model

         Content Model: Sub-Domains

                     Worker Characteristics
                           Interests Abilities
                         Work StylesCognitive Cognitive
                                      Physical             Verbal
                                      Idea Generation & Reasoning
                                       Sensory      Oral Comprehension
                                                Memory Comprehension
                                               Perceptual Expression
                                                     Written Expression
The O*NET Database: Version 15.1

• Occupation data                 Abilities                                               Scales Reference

                           Content Model Reference                                              Skills
   – Cross-Occupational                                  O*NET 15.1
                              Educ, Trng & Exp
     + Occupation               Categories
                                                          Database                     Survey Booklet Locations

     Specific                                                                              Task Categories
                              Educ, Trng & Exp

   – 230+ variables               Interests
                                                                                             Task Ratings

   – Importance, level,      Job Zone Reference                                            Task Statements

     frequency                   Job Zones
                                                          Supplemental Files
                                                                                           Work Activities
                                                          • Related Occupations
                                                      • Crosswalks
   – @ 500 ratings per           Knowledge
                                                          • Crosswalks
                                                      • Detailed Work Activities
                                                          • Detailed Work Activities
                                                                                       Work Context Categories
                                                      • Emerging Tasks
                                                          • Emerging Tasks
     occupation                                       • In-Demand Occupations
                                                          • Lay Titles                      Work Context
                             Level Scale Anchors      • Lay Titles Technology
                                                          • Tools and
                                                      • Related Occupations
   – @ 3500 metadata          Occupation Data
                                                          • O*NET-SOC 2000 to
                                                      • Tools and Technology
                                                            O*NET-SOC 2006                   Work Styles
                                                          • Tasks (Release 5.1 File
                                                      • Work Needs
     per occupation                                        Layout)
                                                         • Work Needs
                          Occupation Level Metadata                                          Work Values

The O*NET Database: Metadata

Ratings Level Statistics                       Occupational Level Statistics
                                               •   O*NET-SOC Establishment Response
•   Confidence Intervals
     –   Lower and upper 95% bounds            •   O*NET-SOC Employee Response
•   Standard Deviation                             Rate
                                               •   O*NET-SOC Case Completeness Rate
•   Standard Error
                                               •   Total Completes for O*NET-SOC
•   Sample Size
•   Flags
     –   Not Relevant for the Occupation
                                           Occupational Level Distribution
     –   Recommended Suppression
                                           •       Data Collection Mode
                                           •       Current Job Tenure
                                           •       Industry

O*NET Data Availability
• 874 occupations
   – Comprehensive data
   – 359 second update
• 100 occupations
   – Description, task list, lay titles
   – Majority also have interests, work values, and tools & technology

O*NET Data Publication Goals

• New database released annually
  – Minimum of 100 occupations updated
• Average currency of all occupations = 2.59 years
• Priority established by DOL
  –   Maximum 5 years-old
  –   Bright Outlook
  –   Green occupations
  –   Linked to technology, math, and science, computers, engineering,
      and innovation

O*NET Data Currency
                                 Data Currency Across O*NET-SOC Occupations

 Percentage of Occupations






                                      0-1 years:   2-2.5 years:   3-3.5 years:   4-4.5 years   5 years or more

                                                     Number of Years Since Published

O*NET Data Collection Program

O*NET Data Collection Overview
• Proven successful and cost effective methodology designed to collect
  and yield high quality occupational data

• Multi-method approach to provide flexibility within a framework of
  standardized procedures
    –   Establishment, Occupational Expert, Supplemental Frames, Analyst Ratings, Web-Based

• Minimizes public burden and costs

• Approved by Office of Management & Budget (OMB)

O*NET Data Collection Overview
• Continuous data collection since June 2001
   – Three successful OMB Clearances

• Comprehensive update by job incumbents and occupational experts of
  the 2006 O*NET-SOC Taxonomy

• Transition to 2010 O*NET-SOC
   – New & Emerging occupations

• Unparalleled partnership between Department of Labor and
  private/public community
       • 40,000+ business/organizations
       • 160,000+ job incumbents/experts
       • 450+ National Associations

Data Collection Overview (cont.)
 • High quality data from a national sample of job
   incumbents/occupational experts
    – Strong business participation
      • 76% plus response rate
   – Strong employee participation
      • 65% plus response rate
   – Strong occupation expert participation
      • 82% response

Data Collection Overview (cont.)

 • Web-based case management system used to control all
   sampling and data collection systems
    – Case management, BL contacts with establishments, questionnaire and
      informational mailings, questionnaire processing, inventory control, etc.

 • Finely tuned procedures, systems and infrastructure
   capable of surveying multiple occupations simultaneously
    – Capability developed, tested, and enhanced over 11 years

Sources of Occupational Data
• Job Incumbents and Occupation Experts
   – Education, Job Titles, Knowledge, Tasks, Work Activities, Work
     Context, Work Experience, Work Styles

• Occupation Analysts
   – Abilities, Skills

• Web-based Research
   – Detailed Work Activities, Green, Tasks, Tools and Technologies

Establishment Method

• Two stage sample
  – Business establishments - POC
  – Job incumbents within business

Establishment Method (cont.)
 • Job incumbents complete one of three
   survey questionnaires (25 -30 minutes)
   – Generalized Work Activities,
     Knowledge/Work Styles, or Work Context
   – Task List
   – Background Info

 • Incumbents choose response option
   – Paper-and-pencil
   – Web-based (approximately 25%)

Design of Collection Waves

 • Identify ~50 primary occupations to
   target in a sample wave
   – Wave X.1: Designed to get 34% of sample
   – Wave X.2: Designed to get 33% of sample
   – Wave X.3: Designed to get 33% of sample
   – Wave X.4: Sample residual

Design of Collection Waves (cont.)
 • Each wave is a cluster of similar occupations
   – Secondary occupations which are found across
     industries are also included to maximize
 • Multiple sub-waves allow for greater
   – Locating occupations
   – Controlling public burden and project resources

Stage One Sampling

• OES data from BLS used to determine the
  initial industry distribution for each
• Sample business establishments selected
  from database of business locations

Stage One Sampling (cont.)

• OES data from BLS used to determine the initial
  industry distribution for each occupation
  – Indicates which industries occupations are employed in
    and the share and distribution of occupational
    employment across industries
  – Does not contain information on establishments

Stage One Sampling (cont.)
• Industry information for each occupation is refined by
  O*NET Center analysts
   – Review and face validity checks
       • For example, religious institution sub-section removed from service industry if
         sampling for bartenders

   – Determine industries to include based on overall distribution and
     population coverage goals

   – Refined/target by experience from previous updates, when

Stage One Sampling (cont.)
• Sample business establishments selected from a frame of
  business locations
   – Dunn & Bradstreet (D&B) database
      • ~15 Million establishments
      • Info obtained from multiple sources
          – Tax records, credit reports, telephone directories
      • Updated continuously on a monthly basis
      • Links to SIC and NAICS industry information

Population Coverage

• Gather data on the “core” of the
  – Where the majority of incumbents
  – Average coverage level is 85%

Population Coverage (cont.)
                                   Population Coverage for Occupations Collected Via Establishments


 Percent of Occupations




                                                                            9.70%         9.17%
                          10.00%                               8.78%

                                      < 50%      50%-60%     60%-70%       70%-80%      80%-90%    90%-100%
                                                Percent Occupations by Population Coverage Level

 Stage Two Sampling
• Led by highly qualified O*NET Business Liaisons (O*NET
   – Full time staff working in dedicated call center
   – Educational and work experience criteria higher than typical
     telephone interviewer

• The sampled establishment’s Point-of-Contact (POC)
  works with the O*NET BL to identify the a list of eligible
• Identification Profiles (ID Profile) are used when asking
  POC if occupations are present
   – Helps ensure accuracy in matching employees to occupations

Stage Two Sampling (cont.)

• Automated, random selection of job incumbents from the
  POC’s eligible list
• Limits placed on POC burden
   – No more than 5 occupations sampled
   – Never more than 20 employees selected
   – Can only be included within the data collection once each year

• Selected employees
   – Asked to complete the questionnaire on their own time
   – Responses remain anonymous and confidential from both the employer and the
       • Complete via the web or mail back directly
       • All individual identifiers removed

Model-Aided Sampling (MAS)
• Innovative sampling approach that reduces data collection
  cost and burden to the public by preventing occupations
  from greatly exceeding their targeted sample
   – Builds on existing sampling paradigms: traditional and model
   – For each occupation, a targeted sample size for specific
     demographic domains is modeled
      • Census region
      • Establishment size
      • Industry division
• Data collection is halted in a MAS cell when the targeted
  respondent sample size is projected to be achieved

Summary of Establishment
Method Sample Selection Process

Establishment Method
Data Collection Protocol

Other Key Features
• Incentives
  – Employer
     • Toolkit for Business
  – POC
     • Clock, Certificate of Appreciation
  – Employee
     • $10

• Outreach to professional/trade associations
  increase awareness
  – Endorsement list provided to POC

 Supplemental Frame Method
• Multiple strategies to augment the establishment data
   – Supplemental Frame Incumbent
      • Job incumbents are directly accessed via an association listing to
        complete the data collection
          – e.g. Industrial Organizational Psychologists
   – Supplemental Frame Establishment
      • Targeted employer sample developed via expert contact/associations
        where the sampling frame coverage is significantly high but is not
        adequate by itself
          – e.g. Freight and Cargo Inspectors
   – Special Frame Establishment
      • Targeted employer sample completely developed via expert
        contact/associations where coverage is extremely high
      • Normal establishment method is bypassed
          – e.g. Nuclear Power Reactor Operators; Flight Attendants

Occupational Experts (OE) Method

 • Used when occupation is difficult to locate in
   – Small employment size
   – Job incumbents inaccessible due to work in
     remote locations
   – New and emerging occupations

OE Method (cont.)
• Data collected from experts in target occupation
   – Supervisors, trainers, others with extensive knowledge of
• Identify appropriate source organizations (e.g.
  professional associations)
   – Good coverage of occupation
   – Can identify members who are occupation experts
   – Willing to provide lists of experts

OE Method (cont.)

• Select sample from membership lists

• Contact, screen, and survey OEs directly – no
  establishment or POC

• OEs complete all three domain questionnaires,
  background and task questionnaires

• OE incentives – clock, Certificate of Appreciation, $40

OE Method Data
Collection Protocol

Analyst Ratings Method

• Occupational Analysts Rate the Ability and Skill

  – Updated occupation information collected from job
    incumbents used to describe occupation and assist
    with the rating process

  – Extensive training and quality assurance procedures

Analyst Rating Process
            Receive New
            Receive New                Select
          Incumbent Data
           Incumbent Data             Analysts

         Prepare Stimulus
         Prepare Stimulus

        Distribute Stimulus
        Distribute Stimulus            Train
              Materials               Analysts

                         Collect Ratings
                         Collect Ratings

       Provide Analyst
       Provide Analyst
                                    Analyze Data
                                    Analyze Data

                                     Create Final
                                     Create Final

Stimulus Material
•   Occupation title and definition
•   Job Zone
•   Important knowledges
•   Mean importance of core and supplementary tasks
•   Mean importance of GWAs that:
    – Mean > 3.0 for occupation
    – Require the targeted ability/skill to be performed
• Mean rating of work context statements that:
    – Mean > 3.0 for occupation
    – Require the targeted ability/skill to work in that context

Data Collection
• Two groups of eight analysts
• Both groups first given same 10 occupations
• Rate importance and level of 52 abilities and 35
• Ratings compared and discussed if warranted
• Batches of five occupations/week; different
  occupations to each group of 8
• Evaluate agreement (SEM); facilitate discussion if
  SEM > .51 for importance

Analysts Qualifications
• 16 Trained Analysts
• 5 + years work experience
   – Currently work for diverse organizations
       • Marriott, FedEx, SAS, DDI
   – Not internship, assistantship or summer job
• Masters or PhD degree in I/O psychology, vocational
  psychology, human resources (business department) or
  industrial relations
   – Graduate level job analysis course (or something comparable)
   – Graduate level research methods course (or something

Analyst Training
  • 1 ½ days
  • Hands-on exercises, quizzes, and rating

     Module 1: History of O*NET
     Module 2: Overview of Stimulus Materials
     Module 3: Making Your Ratings
     Module 4: Recording Your Ratings

  • Refresher training

Web-Based Method
• Trained analysts collect and process more
  specific occupational information from industry,
  professional, labor, and educational organizations
  –   Scan internet for existing information linked to O*NET-SOC
  –   Collect tasks and detailed information
  –   Compile data, analyze data/expert review
  –   Organize using standardized taxonomies
  –   Generate final output

Special Projects

Revision of Data Collection Instruments
 • Variety of cognitive methods used to evaluate the content
   and design of the initial O*NET data collection surveys
    – Expert evaluation (cognitive forms appraisal)
    – Expanded interviews with individual respondents
    – Focus group interviews

 • Results led to significant enhancements to the
   instruments while maintaining comparability to the
   theoretical underpinnings of the variables and
   taxonomies, as well their psychometric qualities
    – Simplification of instructions and layout
    – Reduction in the number of items and scales per item
    – Wording changes to specific variable definitions

 • Current item response rate range 96-99%

O*NET Integration Projects
 •   Occupational Code Assignment
      –   Formal request of an assignment of a job/occupation to the O*NET-SOC Taxonomy

 •   Lay titles
      –   50,000+ titles
      –   Average of 57 titles linked per occupation

 •   Crosswalks
      –   Military Occupational Classification (MOC)
      –   Registered Apprenticeship Partners Information Data System (RAPIDS)
      –   Classification of Instructional Programs (CIP)
      –   Dictionary of Occupational Titles (DOT)
      –   Standard Occupational Classification (SOC)

 •   O*NET Online Applications
      –   Browse by Career Cluster
      –   Browse by Bright Outlook
      –   Browse by Industry
      –   Browse by Job Family
      –   Browse by Science Technology Engineering & Math (STEM)

 •   O*NET Occupation Browser
      –   CD-ROM based version of O*NET Online
      –   Designed for organizations serving populations with little to no access to the internet

   O*NET Career Exploration Tools

              Tool                 Format              Purpose
    O*NET Interest Profiler (IP)   Paper/Pencil    Work-related Interests

    O*NET Computerized             Standalone or
                                                   Work-related Interests
    Interest Profiler (CIP)           Network

    O*NET Work Importance                          What is Important in a
    Locator (WIL)                                  Job (Values)

    O*NET Work Importance          Standalone or   What is Important in a
    Profiler (WIP)                    Network      Job (Values)

                                                   What Individual Can
    O*NET Ability Profiler (AP)    Paper/Pencil
                                                   Do Well (Ability)

 Tools and Technology (T2)
• Machine, Equipment, Tools, and Software
  workers must be able to use for optimal
  functioning in a high performance workplace

    – This is what employers refer to as “Hard Skills”

    – Emphasis placed on cutting edge technologies and
      emerging workplace practices

Tools and Technology (T2)

• 620 occupations populated
  – All green occupations
• 43,000 objects
• 76 objects per occupation on average
  – Range = 12-300

T2 Development

• Internet based data collection
  – Build on previous O*NET project tasks (i.e.,
    task development)
  – Trained analysts
     • Strong proficiency in Internet searching procedures
     • Strong background and training in occupational

T2 Development (cont.)
 • Data classification
   – United Nations Standard Products and Services Code
     classification system (UNSPSC)
 • Quality control
 • Customer input
   – Feedback via O*NET Online & O*NET Resource
   – Transactional analysis of DOL’s Job Description Writer

O*NET New & Emerging (N &E) Project

 • 154 New & Emerging Occupations Identified
     –   Significantly different work from existing O*NET-SOCs
     –   Not adequately reflected in current classification
     –   Significant employment
     –   Positive projected growth rate
     –   Education, credentialing, certification programs
     –   Related professional associations

O*NET N & E Project (cont.)
• Investigated 17 In-Demand Industries
     –   Advanced Manufacturing   –   Green
     –   Aerospace                –   Health Care
                                  –   Homeland Security
     –   Automotive               –   Hospitality
     –   Biotechnology            –   Information Technology
     –   Construction             –   Nanotechnology
     –   Education                –   Retail
     –   Energy                   –   Transportation
     –   Financial Services
     –   Geospatial Technology

O*NET N & E Project (cont.)
• Extensive Web Search Conducted by
  Trained Occupational Analysts:
  – Industry Associations and Organizations
  – Educational Programs
  – Job posting sites
• Information Gathered, Documented, and
  Detailed Criteria for Inclusion Applied

O*NET N & E Project (cont.)
• Trained occupational analysts conduct extensive
  web searches to investigate each industry
  – Background of industry (i.e., when industry started
  – Major innovations in industry
  – Employment trends
  – New products
  – Government regulations (e.g., Automotive Emissions

    37 New Health Care O*NET-SOCs
•   13-1199.02   Patient Representatives                             •   29-1199.05   Clinical Nurse Specialists
•   19-3039.01   Neuropsychologists and Clinical                     •   29-1199.06   Critical Care Nurses
                 Neuropsychologists                                  •   29-1199.07   Nurse Anesthetists
•   21-1019.01   Genetic Counselors                                  •   29-1199.08   Nurse Practitioners
•   29-1069.01   Allergists and Immunologists                        •   29-2099.01   Cytogenetic Technologists
•   29-1069.02   Dermatologists                                      •   29-2099.02   Cytotechnologists
•   29-1069.03   Hospitalists                                        •   29-2099.03   Electroneurodiagnostic
•   29-1069.04   Naturopathic Physicians                                              Technologists
•   29-1069.05   Neurologists                                        •   29-2099.04   Hearing Instrument Specialists
•   29-1069.06   Nuclear Medicine Physicians                         •   29-2099.05   Histotechnologists and
•   29-1069.07   Ophthalmologists                                                     Histologic Technicians
•   29-1069.08   Pathologists                                        •   29-2099.06   Ophthalmic Medical
•   29-1069.09   Physical Medicine and Rehabilitation                                 Technologists and Technicians
                  Physicians                                         •   29-2099.07   Orthoptists
•   29-1069.10   Preventive Medicine Physicians                      •   29-2099.08   Nurse Midwives
•   29-1069.11   Radiologists                                        •   29-9099.02   Midwives
•   29-1069.12   Sports Medicine Physicians                          •   31-9099.01   Anesthesiologist Assistants
•   29-1069.13   Urologists                                          •   31-9099.02   Endoscopy Technicians
•   29-1129.01   Low Vision Therapists, Orientation and Mobility     •   31-9099.03   Speech-language Pathology
                 Specialists, and Vision Rehabilitation Therapists                    Assistants
•   29-1199.01   Acupuncturists
•   29-1199.02   Informatics Nurse Specialists
•   29-1199.03   Acute Care Nurses
•   29-1199.04   Advanced Practice Psychiatric Nurses

Greening of the World of Work

 • Investigated the implications for the O*NET System
    - Current O*NET-SOC Taxonomy
    - N & E Occupations

 • “Green Economy”
     economic activity related to reducing the use of fossil fuels,
     decreasing pollution and greenhouse gas emissions, increasing the
     efficiency of energy usage, recycling materials, and developing and
     adopting renewable sources of energy.

Green Economy Sectors
   •   Renewable Energy Generation
   •   Transportation
   •   Energy Efficiency
   •   Green Construction
   •   Energy Trading
   •   Energy and Carbon Capture
   •   Research, Design, and Consulting Services
   •   Environment Protection
   •   Agriculture and Forestry
   •   Manufacturing
   •   Recycling and Waste Reduction
   •   Governmental and Regulatory Administration

Greening of Occupations

 • The extent to which green economy activities
   and technologies increase the demand for
   existing occupations, shape the work and
   worker requirements needed for occupational
   performance, or generate unique work and
   worker requirements

Greening of Occupations (cont.)
• Green Increased Demand Occupations:
  – increase in the employment demand for an existing occupation
  – changes in work context
  – few if any significant changes in work (tasks) and worker requirements of the

• Green Enhanced Skills Occupations:
  – significant changes in work and worker requirements
  – essential purposes of the occupation remain the same, but tasks, skills,
    knowledge, and external elements, such as credentials, have changed
  – may or may not result in an increase in employment demand for the occupation

• Green New & Emerging Occupations:
  – impact of green economy activities and technologies creates unique work and
    worker requirements, which results in the generation of a new occupation
    relative to the O*NET taxonomy.
  – The new occupation could be new or “born” from an existing occupation

O*NET Green Results
• Green Increased Demand Occupations:
  – 64 O*NET-SOC occupations
     • Geological and Petroleum Technicians; Locomotive Engineers;
       Architectural Drafters; Chemists; Natural Science Mangers;
       Agricultural Inspectors

• Green Enhanced Skills Occupations:
  – 60 O*NET-SOC occupations
     • Power Plant Operators; Electrical Engineers; Heating and Air
       Conditioner Mechanics and Installers; Roofers; Nuclear
       Engineers; Construction Managers; Farmers and Ranchers;
       Hazardous Materials Handlers

O*NET Green Results (cont.)
• Green New & Emerging Occupations:
  – 91 N & E Occupations (13 waitlisted)
     • Logistic Engineers, Fuel Cell Engineers, Energy Auditors,
       Precision Agriculture Technicians, Photonics Engineers,
       Robotics Technicians, Manufacturing Engineering
     • Wind Turbine or Farm Engineers, Wind Turbine Service
       Technicians, Biofuels Plant Operators, Solar Power Plant
       Technicians, Solar Sales Representatives/Assessors,
       Weatherization Technicians/Installers, Carbon Credit

Detailed Work Activities (DWAs)
 • Detailed job behaviors required across multiple
    • More detailed and more specific to a finer set of occupations
      than Generalized Work Activities (GWAs)
        • Linked to and organized by GWAs
    • Less specific than unique occupation tasks

 • 2000+ statements
 • 30,000+ linkages

Original DWA Development
 • 2000 to 2002
 • Original statements developed to help clients perform
   skills matching
    • Oregon State
        • Classification of Instructional Programs, OES data, DOT data
        • Transactional data from employers in Oregon

 • Statements linked to O*NET occupations, new statements
   added to increase coverage, increase consistency, reduce
    • Labor Exchange Skills Project sponsored by DOL
        • Rational review by occupational analysts

 • Further refinement and enhancement of statements
    • National Center for O*NET Development
        • Rational review by occupational analysts

Current DWA Project
 • Develop new DWAs statements with direct linkages to tasks
   statements and GWAs
    • Occupational analyst rating project
    • Builds on previous database
 • Identify new Green and Healthcare related DWAs
 • Populate the 2010 O*NET-SOC taxonomy
    • O*NET New and Emerging occupations
    • Other new occupations and changes

Spanish Translations of O*NET

     • Now available along with the previously available
       generic, customizable versions in English
     • Can be used as a starting point to collect occupational
       data in support of a wide range of economic/workforce
       investment activities and human resource
       management functions


O*NET Toolkit for Business

• Information of the features of O*NET and
  its many uses for human resource
  professionals and businesses
• On-screen and print version

O*NET Products & Tools

    O*NET Products & Tools

• Where Can O*NET Products & Tools be found?
  – O*NET Resource Center (

      •   Databases                           • Toolkit for Business
      •   Classification & Crosswalks         • Questionnaires
      •   About O*NET & O*NET Content Model   • Research & Technical Reports
      •   Career Exploration Tools            • Links to Related Sites

  – Incorporated within Private, Not-for-Profit, and Government tools
    and systems

O*NET Products & Tools
• O*NET Database (
  – Core Database
  – Supplemental Files (e.g., lay titles, DWAs, crosswalks)
  – Production versus Development
• O*NET OnLine (
  – Variety of search options
  – Detailed occupation information
• My Next Move (
  – Easy-to-use search and career overviews
  – Web-based Interest Profiler
• O*NET Code Connector (
  – Occupational coding assistant

O*NET Products & Tools (Cont.)

  • O*NET Career Exploration Tools
     – Interest Profiler
     – Work Importance Profiler/Locator
     – Ability Profiler
  • Training and E-Learning (
     – 60,000+ registered participants
  • Technical Assistance
     – Testing & Assessment Guides
     – Implementation guidance
  • Customer Service
     –                     (

O*NET Widespread Use

  O*NET Downloads Jan 2002 – Dec 2010
                                        Number of
   Database                               82,968
   Career Exploration Tools
    Ability Profiler                     173,744
    Interest Profiler                    201,085
    Work Importance Locator               96,409
    Computerized IP, WIP                 142,128
    Total Career Exploration Tools       613,366
   Other (e.g., Toolkit for Business)    134,434
   TOTAL O*NET PRODUCTS                  830,768

O*NET Widespread Use (cont.)

  O*NET Website Statistics - 2010
  O*NET Online
   average visits per month    1.1 million
   linked sites                 14,496
  O*NET Resource Center
   average visits per month    305,000
   linked sites                  4,223
  O*NET Code Connector
   average visits per month     63,000
   linked sites                  1,585
  TOTAL VISITS PER MONTH       1.4 million +
  TOTAL LINKED SITES            20,304

Who uses O*NET?

  Students and             Job Seekers
    Educators             Community
                                          Career Counselors
                              Government Officials
           Researchers         and Policy Makers
         Sample of O*NET Users

•   Manpower                            •   National Institutes for Health
•   Microsoft                           •   Alabama Department of Rehabilitation
•   American Foundation for the Blind   •   California Employment Development
•   Booz, Allan, & Hamilton                 Department
•   IBM                                 •   Connecticut Department of Labor
•   ACT                                 •   U.S. Department of Labor, Employment
•   Torque                                  and Training Administration
•   Bill and Melinda Gates Foundation   •   Main Department of Labor
•   The Boys and Girls Club of          •   NCESC—Job Connector
    American                            •   State of Montana Human Resources
•   Catholic Community Services             Division
•   Community Preservation and          •   Texas Labor Market and Career
    Development Corporation                 Information Department
•   Arizona State University CRESMET    •   USAID
    Center                              •   Cornell University
•   Colorado State University           •   Canadian International Education
    Department of Psychology                Development Company
•   Harvard Business School             •   E-Career Guidance.Com (Ireland)
•   Lehigh Carbon Community College     •   NKOKA (South Africa)
•   Temple University                   •   Technical Education and Skills
•   Seattle Washington Public School        Development Authority (Philippines)
•   Army Research Institute             •   JNET ( Japan)
•   Federal Reserve Bank of New York    •   U21 Global (includes 21 Universities in
•   U.S. Navy                               11 countries)
•   U.S. Department of Defense          •   UK Commission for Employment and
                                            Skills (United Kingdom)

Employers Using O*NET

• Human Resources Personnel
• Business Forecasters
• Industry Analysts
• Organizational Consultants
• Workforce and Economic Development
• Curriculum Developers
• Researchers

    Individuals Using O*NET

•   Career exploration
•   Career development
•   Job search
•   Employment transitions

Department of Labor
 Employment & Training Administration

• mySkills myFuture
• America’s Career InfoNet and
  CareerOneStop E-Tools
• Foreign Labor Certification
• Apprenticeship

One-Stop Partners:
•   Career Counselors
•   Interviewers
•   Rehabilitation Counselors
•   Veterans’ Representatives
•   Training Providers
•   Business Consultants

Questions, Feedback, Additional
             Customer Service
  National Center for O*NET Development:

To top