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 Datasets & APIs
Canaria | Title & Skill Taxonomy Data | Custom Database | US | 2 Years Historical Data | 38000 Unique Title & Skill Taxonomy Data
Dataplex: US Healthcare NPI & Taxonomy Data | Access 8.5M B2B Contacts with Emails & Phones | Perfect for Outreach & Market Research
Canaria | Salary Data | US | 25M+ Monthly Job Postings & 2 Year Historical | AI-LLM Enhanced Salary Data
Glassdoor Recruiting Data & Employee Experience Data for Talent Acquisition & Workforce Planning | 2021-Present | Public Web Data
Rhetorik | Business Data / Company B2B Data | 1.5m+ Decision-Makers and Influencers across the Nordic region | Verified and Compliant
WageScape Freight Data | Enriched Job Postings Data | Enhanced Salary Data through PrecisionPay | 287k + New Monthly Jobs
Canaria | Human Resources(HR) Data Indeed, LinkedIn & More | USA | 25M+ Monthly | AI-LLM Enhanced Deduplicated Unique Human Resources(HR) Data
Neuron360 | Global B2B Professional Profiles Data | 800 Million Profiles Refreshed Weekly | API, JSON or CSV Delivery | From Rhetorik
WageScape Public Sector Data | Enriched Job Postings Data | 7473 Tickers | Enhanced Salary Data through PrecisionPay | 400K+ New Monthly Jobs
Monetize data on Datarade Marketplace
Skill Taxonomy Data Use Cases
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.