scholarly journals Connecting O*Net® Database to Cybersecurity Workforce Professional Certifications

2021 ◽  
Vol 10 (2) ◽  
pp. 65-76
Author(s):  
Micheline Al Harrack

The Occupational Information Network O*NET is considered the primary source of occupational information in the U.S. I explore here possible uses of O*NET data to inform cybersecurity workforce readiness certification programs. The O*NET database is used to map out education requirements and how they relate to professional certifications as required by employers and job designers in accordance with the National Initiative for Cybersecurity Careers and Studies (NICCS). The search focuses on the “Information Security Analysts” occupation as listed on O*NET, Careeronestop, U.S. Bureau of Labor Statistics (BLS), and finally tied back to NICCS source work role to identify certifications requirements. I found that no site has listed any certification as required, desirable or mandatory. NICCS offered general guidance to potential topics and areas of certification. Careeronestop site provided the ultimate guidance for this role certification. Professional certifications are still not integrated in the Cybersecurity Workforce Framework official guidance.

Author(s):  
Aurora B. Le ◽  
Lily A. McNulty ◽  
Mari-Amanda Dyal ◽  
David M. DeJoy ◽  
Todd D. Smith

Traditionally, safety-related research on firefighting has focused on fires and fireground smoke as the primary source of non-fatal firefighter injury. However, recent research has found that overexertion and musculoskeletal disorders may be the primary source of firefighter injury. This study aimed to provide an update on injury occurrence among career firefighters. Injury data were collected over a two-year period from two large metropolitan fire departments in the U.S. Injury data were categorized based on the Bureau of Labor Statistics’ Occupational Injury and Illness Classification System. Cross-tabulations and Chi-square tests were used to determine the primary causes of injury, as well as the injury region. Between the two fire departments, there were 914 firefighters included in the analysis. The median age was 40.7 years old with those aged 40–49 as the largest age group for injury cases (38.3%). The most frequently reported cause of injury was ‘overexertion and bodily reaction’ (n = 494; 54.1%). The most reported injury region was in ‘multiple body parts’ (n = 331; 36.3%). To prevent subsequent musculoskeletal disorders that may arise due to overexertion, initiatives that promote enhanced fitness and ergonomics based on an analysis of the physical demands of firefighting are suggested.


1960 ◽  
Vol 33 (3) ◽  
pp. 285
Author(s):  
William H. Kruskal ◽  
Lester G. Telser

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Michael Jones ◽  
Sandra Idrovo-Carlier ◽  
Alfredo J. Rodriguez

PurposeThe purpose of this paper is to identify workforce skills that protect an occupation from elimination due to automation technology.Design/methodology/approachThe authors apply a Gaussian process (GP) classifier, based on the level of non-automatable work activities in an occupation, to USA and Colombian occupational datasets.FindingsThe authors find that communication, interpersonal relationship management and decision-making skills are most important in occupations that are resistant to automation.Research limitations/implicationsThe results are based on work activities data from the Occupational Information Network (O*NET) database developed for the USA labor market. This dataset does not capture significant differences in work activities, where they exist, for the same occupation between the two countries. The findings are also limited to Colombia. Readers should be careful to extrapolate the findings outside of this geography.Originality/valueThe authors discover that automation is likely to be a global phenomenon that can only be slightly mitigated by cultural and political factors.


1915 ◽  
Author(s):  
Laura Erhard ◽  
Brett McBride ◽  
Adam safir

As part of the implementation of its strategic plan, the U.S. Bureau of Labor Statistics (BLS) has increasingly studied the issue of using alternative data to improve both the quality of its data and the process by which those data are collected. The plan includes the goal of integrating alternative data into BLS programs. This article describes the framework used by the BLS Consumer Expenditure Surveys (CE) program and the potential these data hold for complementing data collected in traditional formats. It also addresses some of the challenges BLS faces when using alternative data and the complementary role that alternative data play in improving the quality of data currently collected. Alternative data can substitute for what is presently being collected from respondents and provide additional information to supplement the variables the CE program produces or to adjust the CE program’s processing and weighting procedures.


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