Overview - Challenges

This page gives an overview of common challenges you could encounter when analyzing OJAs. Next to each challenge is the relevant section in the guide.

If you have identified any challenges not listed here, please let us know by making a pull request in our GitHub Repository or contact us directly.

Data Collection

• Where to find OJA data? Data Sources and OJA Landscaping

• How to collect OJA data? Web Scraping

• How to store OJA data? Job Posting Data Schema

Data Enrichment

• How to segment a job ad? Text Segmentation

• How to identify duplicates? Identifying Duplicates

• How to extract occupations? #normalising-job-titles

• How to extract skills and competences? Extracting Skills

Evaluation and Quality Control

• How to evaluate extraction and classification algorithms? Evaluation Metrics

• How to create a gold standard for evaluation? Gold Standard Annotation and Quality

Taxonomies and Ontologies

• Which taxonomies are there (ISCO, ESCO, KLDB, etc.)? #taxonomies-for-online-job-ad-analysis
• How to develop a taxonomy? Developing a Taxonomy
• How to evaluate a taxonomy? Data Standards for Taxonomies and Ontologies

Dataset Curation and Representativity Analysis

• How to deal with duplicates? Deduplication
• How to validate an OJA dataset/sample? Representativity Analysis
• What to report? Reporting Results