A resume, as the name implies, is a concise written summary of an individual's educational background, work experience, skills, interests, and other relevant information. It serves as a standardized and logically structured written expression of self-introduction tailored to specific contexts. For job applicants, a resume functions as a "stepping stone" in the job-seeking process.
Amid revolutionary changes in labor market recruitment decisions driven by technological advancements, scholars across various countries are utilizing online job posting data to conduct labor market research. However, such demand-side data face limitations in matching labor supply-side information. U.S. labor resume data effectively addresses these gaps in supply-side data, enabling granular analysis of corporate hiring decision-making processes in the United States. This holds significant referential value for future U.S. labor market studies.
The CnOpenData team presents the LinkedIn U.S. Labor Resume Data, primarily sourced from online public platforms and internet-accessible materials. This dataset employs natural language processing to standardize positions, industries, and other content. It comprises four modules: Basic Labor Information Table, Career Resume Table, Educational Background Table, and Skills Table, including fields such as company, address, occupation, education, skills, and release date.
Time Coverage
As of 2022
Field Display
Sample Data
LinkedIn美国劳工个人基本信息表
LinkedIn美国劳工职业经历情况表
LinkedIn美国劳工受教育程度情况表
LinkedIn美国劳工技能情况表
Relevant Literature
- Li, Xiaoguang. 2024. "The Impact of Educational Mismatch Experience on Corporate Hiring Decisions: Evidence from Resume Submission Experiments and Online Job Postings." Management World 4.
- Zhou, Huaikang, Zhang Li, and Liu Shanshi. 2023. "Urban Housing Prices and High-Skilled Talent Mobility Between Firms: An Empirical Study Based on Online Resume Big Data." Journal of Financial Research 5.
Data Update Frequency
Updated irregularly