- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Skills Taxonomy Data?
Skills Taxonomy Data refers to a structured classification system that categorizes skills into specific categories and subcategories. It provides a standardized framework for describing, analyzing, and comparing skills across different domains and industries.
Skill taxonomy data refers to a collection of information that categorizes and organizes skills into a hierarchical structure. Examples of skill taxonomy data include skill taxonomy datasets, skill taxonomy databases, and skill taxonomy lists. This data is used for various purposes such as talent management, workforce planning, job matching, and skill development. In this page, you’ll find the best data sources for skill taxonomy data.
Best Skill Taxonomy Databases & Datasets
Here is our curated selection of top Skill Taxonomy Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Skill Taxonomy Data US | AI-Powered Title & Skill Taxonomy Data Matchable with Job Postings for Talent Intelligence, HR Analytics & Workforce Planning
Job Postings Data US AI-Enriched Job Postings Data Matchable with Company Profiles Skill Taxonomy, Salaries & Titles for Talent, HR & Market Research
LinkedIn Job Postings Data – U.S Skills & Employer Trends • Enriched LinkedIn Job Postings Data Matchable with LinkedIn Company Data & Google Maps
LinkedIn Company Data – US Company Profiles Validated via Google Maps, Matchable with Job Posting Data for Company Analysis, BI & Portfolio Monitoring
Indeed Data – US Company & Job Postings Indeed Data with Salaries, Hiring Activity & Matchable Google Maps for HR Analytics & Business Development
Canaria | Indeed Job Postings Data | U.S. | 4M+ Monthly Indeed Job Postings Data | AI-LLM Enhanced with 3 Years of Historical Indeed Job Postings Data
LinkedIn Data – US Company Intelligence & Hiring Signals • LinkedIn Data Matchable with Job Market Data for Talent, CRM Enrichment & HR Intelligence
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Top Skill Taxonomy Data Providers & Companies
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Rhetorik
CoverageUSAUK+248Supercharge your business with our unmatched global coverage. No other B2B data provider in the industry offers qualified contacts, professional profiles, and company profiles like Rhetorik does.270m+Companies810m+Contact Profiles80m+Valid Work Emails -
Success.ai
CoverageUSAUK+248VI’m really happy with the contact data I got from success.ai. After talking to a bunch of other providers, they were either way too expensive or didn’t offer the best implementation options. But success.ai was a great fit for me!
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Canaria Inc.
CoverageUSAUK+248VAs an AI-focused nonprofit, we've found Canaria Inc. to be an invaluable partner in understanding job market trends. Their comprehensive datasets, sourced responsibly from platforms like Indeed and LinkedIn, coupled with their advanced AI and NLP processing (this enables us to get additional insights which are not natively available in the source such as predicted salary, seniority level etc.), provide unmatched insights into the labor market. Their high deduplication rates ensure the accuracy and utility of the data, essential for our strategic planning and analysis. Canaria's tailored pricing and client-centric approach make them a top recommendation for any organization needing detailed labor market analytics.
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Dataplex
CoverageUSAUK+248Dataplex Consulting & Data Products offers top-notch, turnkey data products, making data easily accessible for any business. Our data pipelines feature automatic quality checks and active monitoring, ensuring timely, clean, and high-quality data designed for seamless ingestion.50B+ RowsComprehensive DatasetsClassifyAI EnrichedFrom 2007+Historical -
Oxylabs
CoverageUSAUK+247Oxylabs is a web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.102M+ IPsAround the globeCustomFully tailored datasetsEthicsLegal compliance
Popular Use Cases for Skill Taxonomy Data
Skill Taxonomy Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Skill Taxonomy Data.
Main Attributes of Skill Taxonomy Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| Integer | An unique identifier (ID) of a company. | View 4 datasets | |
| String | The industry classification of a company. | View 4 datasets | |
| String | The name of a company or business, might be the legal or brand name. | View 4 datasets | |
| String | The phone number of a company. | View 4 datasets | |
| String | The official website of a company. | View 4 datasets | |
| String | The title of a job. | View 4 datasets |
Frequently Asked Questions
What is Skills Taxonomy Data?
Skills Taxonomy Data refers to a structured classification system that categorizes skills into specific categories and subcategories. It provides a standardized framework for describing, analyzing, and comparing skills across different domains and industries.
How is Skills Taxonomy Data collected?
Skills Taxonomy Data is collected through a combination of research, analysis, and expert input. It involves studying various industries and professions, conducting surveys, analyzing job descriptions, and consulting with subject matter experts to identify and categorize skills accurately.
What is Skills Taxonomy Data used for?
Skills Taxonomy Data is used for talent acquisition and management, workforce planning and development, education and learning, skill benchmarking, and proficiency assessment. It helps organizations define skill requirements, identify skill gaps, design training programs, and align education with industry demands.
What’s a quality checklist for Skills Taxonomy Data?
A quality checklist for Skills Taxonomy Data includes criteria such as accuracy, comprehensiveness, relevance, consistency, and adaptability. The data should be based on thorough research, cover a wide range of skills, align with industry needs, maintain consistency in classification, and be adaptable to evolving skill trends.
How is Skills Taxonomy Data priced?
The pricing of Skills Taxonomy Data can vary depending on factors such as data quality, depth of categorization, industry coverage, and the provider’s expertise. Pricing models can include subscription-based access, licensing fees, or customized pricing based on specific requirements and usage.
