What is Skill Taxonomy Data? Uses, Types & Dataset Examples

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Eugenio Caterino
Editor & Data Industry Expert
On This Page:
  • 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.

7 Skill Taxonomy Data Datasets
Logo of Canaria Inc.

Skill Taxonomy Data US | AI-Powered Title & Skill Taxonomy Data Matchable with Job Postings for Talent Intelligence, HR Analytics & Workforce Planning

by Canaria Inc.
5.0
USA
Free sample preview
Pricing available upon request
Logo of Canaria Inc.

Job Postings Data US AI-Enriched Job Postings Data Matchable with Company Profiles Skill Taxonomy, Salaries & Titles for Talent, HR & Market Research

by Canaria Inc.
5.0
USA
Free sample preview
Pricing available upon request
Logo of Canaria Inc.

LinkedIn Job Postings Data – U.S Skills & Employer Trends • Enriched LinkedIn Job Postings Data Matchable with LinkedIn Company Data & Google Maps

by Canaria Inc.
5.0
USA
Free sample preview
Pricing available upon request
Logo of Canaria Inc.

LinkedIn Company Data – US Company Profiles Validated via Google Maps, Matchable with Job Posting Data for Company Analysis, BI & Portfolio Monitoring

by Canaria Inc.
5.0
USA
UK
Germany
+247
Free sample preview
Pricing available upon request
Logo of Canaria Inc.

Indeed Data – US Company & Job Postings Indeed Data with Salaries, Hiring Activity & Matchable Google Maps for HR Analytics & Business Development

by Canaria Inc.
5.0
USA
Free sample preview
Pricing available upon request
Logo of Canaria Inc.

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

by Canaria Inc.
5.0
USA
Free sample preview
Pricing available upon request
Logo of Canaria Inc.

LinkedIn Data – US Company Intelligence & Hiring Signals • LinkedIn Data Matchable with Job Market Data for Talent, CRM Enrichment & HR Intelligence

by Canaria Inc.
5.0
USA
Free sample preview
Pricing available upon request

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Top Skill Taxonomy Data Providers & Companies

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
Company ID Integer An unique identifier (ID) of a company. View 4 datasets
Company Industry String The industry classification of a company. View 4 datasets
Company Name String The name of a company or business, might be the legal or brand name. View 4 datasets
Company Phone Number String The phone number of a company. View 4 datasets
Company Website String The official website of a company. View 4 datasets
Job Title 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.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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