Data Attribution & Credits
The Career Machine is possible because of the open work of standards bodies, governments, and platforms.
We aggregate, transform, and add original intelligence on top of openly available data. Below are the primary sources we credit. See our Data Sources page for more detail and our Fair Use notice for our approach to copyright.
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ESCO
European Skills, Competences, Qualifications and Occupations classification.
License: European Union Public License (EUPL)
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O*NET
US Department of Labor occupational information database.
License: Creative Commons Attribution 4.0
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World Bank Open Data
Global employment, education, and economic indicators.
License: Creative Commons Attribution 4.0
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International Labour Organization (ILO)
Global labor market statistics.
License: ILO Data Access Policy
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US Bureau of Labor Statistics
Employment, wages, and occupational outlook data.
License: Public domain (US Government work)
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USAJobs
US federal government job listings.
License: Public domain (US Government work)
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Eurostat
European statistical data on labor and education.
License: European Union open data
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GOV.UK
UK government employment and career information.
License: Open Government Licence
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Wikipedia (via Wikimedia Foundation)
Company and university summaries.
License: CC BY-SA 4.0
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CORE
Open access research papers.
License: CORE terms
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arXiv
Preprint research server.
License: arXiv terms
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Semantic Scholar
Academic paper metadata.
License: Semantic Scholar API terms
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PubMed
Biomedical research literature.
License: US National Library of Medicine terms
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OpenCorporates
Company registry verification.
License: OpenCorporates terms
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Job aggregators
Job listings via public APIs from Greenhouse, Adzuna, Reed, Remotive, RemoteOK, We Work Remotely, Jobicy, Arbeitnow, Ashby, Workable, Personio, Careerjet, Jooble, Findwork, The Muse, HN Who Is Hiring, and others.
License: Respective provider terms
Missing an attribution? Please email contact@thecareermachine.com and we will correct it promptly.