Welcome to the NLx Research Hub Community projects page!
Explore projects from across the workforce and education ecosystem that demonstrate how users and partners like YOU are relying on the NLx data to increase our collective understanding of labor demand and the nature of work at the national, regional, and state levels.
Have a project or case study you’d like to share with the community? Complete the submission form at the bottom of the page and show the world how you are unlocking the power of jobs data!
Analyses, Case Studies, and Reports from the NLx Research Hub Community
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2024 Oregon Talent Assessment - SRI International
The 2024 Talent Assessment presents analysis and findings on Oregon’s economic and workforce landscape; skills supply and demand for target occupations; and the competitive position of Oregon’s talent pool and workforce development system.
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Occupational Models from 42 Million Unstructured Job Postings - RIPL, NASWA, George Washington University, Johns Hopkins University
This work presents a data resource, derived with natural language processing techniques from over 42 million unstructured job postings in the National Labor Exchange, that empirically models the associations between occupation codes, skill keywords, job titles, and full-text job descriptions in the United States during the years 2019 and 2021. The authors model the probability that a job title is associated with an occupation code and that a job description is associated with skill keywords and occupation codes. All models are openly available in the sockit python package, which can assign occupation codes to job titles, parse skills from and assign occupation codes to job postings and resumes, and estimate occupational similarity among job postings, resumes, and occupation codes.
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Assessing Needs for Civilian Talent Assessment in the Department of the Air Force - RAND
This project examines the DAF’s needs for STEM talent in the civilian workforce, identifies potential gaps in technical competencies, describes options for closing technical skill gaps, and proposes strategies to better track the supply of and demand for STEM talent.
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NLx Coverage of QCEW School Employers in Minnesota - Analyst Resource Center (ARC)
This replicable project compares the coverage of a subset of NLx job postings to QCEW information and projects in Minnesota.
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NLx Coverage of QCEW Construction Employers in Minnesota - Analyst Resource Center (ARC)
This replicable project compares the coverage of a subset of NLx job postings to QCEW information and projects in Minnesota.
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Applied Data Analytics Training Program: "Enhancing Labor Market Insights with Jobs Data"
Offered through a partnership between the Coleridge Initiative, Multi-State Data Collaboratives, and the National Labor Exchange, the Enhancing Labor Market Insights with Jobs Data Applied Data Analytics Training Program focused on preparing participants to work with data from the NLx Research Hub’s job posting database to obtain insights from real job posting data. Participants were given the opportunity to work with the Job and JobHistory tables provided by the NLx Research Hub, giving them access to a massive amount of job postings dating back to 2015. Use the link to below to view the final class projects.
Products and Tools Powered by the NLx Data
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iQ4 Wallet
The iQ4 Wallet is a digital platform that helps users showcase their skills, credentials, and experiences in a portable profile. It integrates live job feeds—including NLx job posting data—to match users with real-time opportunities based on their skillsets and location. Organizations like Western Governors University and the state of Indiana are already using it to support skills-based hiring and workforce development.
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CareerOneStop
CareerOneStop is a free, national career, education, and job resource sponsored by the U.S. Department of Labor, offering tools for job seekers, students, and workforce professionals. It features over 40 RESTful APIs—including the Jobs API powered by NLx data—that support public-facing job search platforms and labor market analysis. CareerOneStop’s certification finder, occupation profiles, and training locators are widely used by state agencies, researchers, and developers to enhance workforce solutions.
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DOORS from RIPL
DOORS is a workforce development platform from Research Improving Peoples’ Lives (RIPL) that uses advanced data analytics to match job seekers with personalized career pathways. It integrates data across programs like UI, SNAP E&T, TANF, and WIOA to streamline service delivery and improve employment outcomes. By leveraging NLx job posting data, DOORS helps governments and employers connect individuals to skills-aligned opportunities while maintaining secure, purpose-limited data access
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SOCkit from RIPL
SOCkit is a natural-language processing toolkit for modeling structured occupation information and Standard Occupational Classification (SOC) codes in unstructured text from job titles, job postings, and resumes. It is developed by RIPL and is deployed in production in Hawaii’s Career Acceleration Navigator and Rhode Island’s Career Compass RI.
Submit a Project or Case Study
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Submit a Project or Case Study *
By submitting a project or case study to share with other NLx Research Hub users, you’ll help the community discover new ways to use and find information.
All submissions are subject NLx Research Hub approval before they are published on the NLx Research Hub website. It is the responsibility of the individual submitting to ensure they have the proper permissions to share the work. All submissions must:
Utilize the NLx data
Align to the extent possible with the Research Hub principles of transparency, accessibility, and replicability
Adhere to any necessary data and licensing agreements