Standardization
BeTalent normalizes the data extracted from candidate CVs — including job profile, competencies, and all remaining information — according to the classification standards described below.
| CV Section | Standards |
|---|---|
| Job profile & categories | O*NET, ESCO |
| Skills & competencies | O*NET |
| Education | ISCED, WAG |
| Languages | CEFR |
O*NET
The Occupational Information Network (O*NET), maintained by the U.S. Department of Labor, is a comprehensive framework for classifying occupations and the skills, knowledge, and abilities associated with them. BeTalent uses O*NET as the primary reference for two purposes:
- Professional category classification: job profiles extracted from CVs are mapped to an O*NET-derived taxonomy of 66 professional categories.
- Skill classification: O*NET serves as the primary dataset for the skill taxonomy, with a predominant focus on the IT domain. The taxonomy is further enriched by importing skills from ESCO and integrating additional tools and datasets.
ESCO
The European Skills, Competences, Qualifications and Occupations (ESCO) classification provides a multilingual taxonomy of occupations, skills, and qualifications. BeTalent uses ESCO primarily to classify and normalize job profiles extracted from CVs. For skills, ESCO serves as a reference specifically for soft skills: soft skills classified within this standard are imported into our taxonomy alongside other sources.
ISCED
The International Standard Classification of Education (ISCED) is a UNESCO framework for categorizing education levels. We apply ISCED to classify the education sections of candidate CVs in our CV Screening API.
WAG
The Weighted Average Grade (WAG) method computes a candidate's overall academic performance by weighting individual course grades. We employ WAG to compare academic records uniformly in our CV Screening API.
CEFR
The Common European Framework of Reference for Languages (CEFR) describes language proficiency on a standardized A1–C2 scale. We use CEFR to tag and filter candidates by language skills in our CV Screening API.
For details on how these standards appear in requests and responses, see the CV Screening API overview.