Information about the characteristics of jobs and the individuals who fill them is valuable for career guidance, reemployment counseling, workforce development, human resource management, and other purposes. To meet these needs, the U.S. Department of Labor (DOL) in 1998 launched the Occupational Information Network (O*NET), which consists of a content model--a framework for organizing occupational data--and an electronic database. The O*NET content model includes hundreds of descriptors of work and workers organized into domains, such as skills, knowledge, and work activities. Data are collected using a classification system that organizes job titles into 1,102 occupations. The National Center for O*NET Development (the O*NET Center) continually collects data related to these occupations. In 2008, DOL requested the National Academies to review O*NET and consider its future directions. In response, the present volume inventories and evaluates the uses of O*NET; explores the linkage of O*NET with the Standard Occupational Classification System and other data sets; and identifies ways to improve O*NET, particularly in the areas of cost-effectiveness, efficiency, and currency.
Author(s): Panel to Review the Occupational Information Network (O*NET), National Research Council
Year: 2010
Language: English
Pages: 232
FrontMatter......Page 2
Acknowledgments......Page 8
Contents......Page 12
Executive Summary......Page 15
1 Introduction......Page 19
Part I: Core Elements of O*NET......Page 33
2 The Content Model......Page 35
3 Evolution of the Occupational Classification System......Page 63
4 The Data Collection Program......Page 75
5 The Role of Technology......Page 107
Part II: Major Current and Potential Uses of O*NET......Page 127
6 Workforce Development and Career Development......Page 129
7 Human Resource Management......Page 153
8 Disability Determination......Page 173
9 Uses in Research......Page 185
Part III: Recommendations......Page 199
10 Recommendations for the Future of O*NET......Page 201
Appendixes......Page 207
Appendix A: Dissent--Juan I. Sanchez and David H. Autor......Page 209
Appendix B: Descriptor Taxonomies Included in the Content Model......Page 213
Appendix C: Biographical Sketches of Panel Members and Staff......Page 225
Committee on National Statistics......Page 231