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

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Eugenio Caterino
Editor & Data Industry Expert

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.

Logo of Canaria Inc.

Canaria | Title & Skill Taxonomy Data | Custom Database | US | 2 Years Historical Data | 38000 Unique Title & Skill Taxonomy Data

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

Global Job Postings Data | 50+ Job Market Sources (Indeed, Glassdoor) | Salary & Recruiting Data | Skill Taxonomy Data | Refreshed Daily

by InfoTrie
USA
United Kingdom
Germany
+247
Free sample preview
API available
Pricing available upon request
Logo of Dataplex

Dataplex: US Healthcare NPI & Taxonomy Data | Access 8.5M B2B Contacts with Emails & Phones | Perfect for Outreach & Market Research

by Dataplex
USA
Free sample preview
Pricing available upon request
Logo of Success.ai

Licensed Professionals Data API | Verified Licenses & Certifications | Best Price Guarantee

by Success.ai
5.0
USA
United Kingdom
Germany
+247
Free sample preview
API available
Starts at
$0.05$0.05 / 100 leads
Logo of Canaria Inc.

Canaria | Salary Data | US | 25M+ Monthly Job Postings & 2 Year Historical | AI-LLM Enhanced Salary Data

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

InfoTrie’s Employee Data | 700M+ LinkedIn Profiles | 50M+ Job Listings | Salary Data | B2B Contact Data Strategy 2025 | Daily Updates

by InfoTrie
USA
United Kingdom
Germany
+247
Free sample preview
API available
Pricing available upon request
Logo of Rhetorik

Rhetorik | Business Data / Company B2B Data | 1.5m+ Decision-Makers and Influencers across the Nordic region | Verified and Compliant

by Rhetorik
Sweden
Norway
Denmark
+5
API available
Pricing available upon request
Logo of Success.ai

Employee Data API | Optimize HR Strategies & Find The Right Employees | Access 700M+ Professional Records | Best Price Guarantee

by Success.ai
5.0
USA
United Kingdom
Germany
+247
Free sample preview
API available
Starts at
$0.05$0.05 / 100 leads
Logo of Wrapped.io

Glassdoor Recruiting Data & Employee Experience Data for Talent Acquisition & Workforce Planning | 2021-Present | Public Web Data

by Wrapped.io
5.0
USA
United Kingdom
Germany
+246
Free sample preview
API available
Starts at
€2,612 / purchase
Logo of Rhetorik

Neuron360 | Global B2B Professional Profiles Data | 800 Million Profiles Refreshed Weekly | API, JSON or CSV Delivery | From Rhetorik

by Rhetorik
USA
United Kingdom
Germany
+246
API available
Pricing available upon request

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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 Employee Count String The approx. number of employees working for a company. View 38 datasets
Company Industry String The industry classification of a company. View 38 datasets
Company Website String The official website of a company. View 37 datasets
Contact First Name String The first name of a contact. View 36 datasets
Contact Job Title String The job title of a contact. View 36 datasets
Contact Last Name String The last name (surname) of a contact. View 36 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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