Content

• Job titles taxonomy content:
  • 107 canonical titles
  • 136 aliases
  • 17 parent titles
  • 2 classification schemes for function:
    • Function (”Data Labeling” vs “Data Operations Management”)
    • Function-ISO-8K-150 (based on the ISO 8000-150 schema)
• Company data:
  • 282 companies
  • 40 industries
• Labelled dataset:
  • 27 listings labelled with v1 canonical titles
  • Taxonomy coverage estimate (based on this small dataset): 92%

Data Access

Through git

• Github Project Space: https://github.com/DataOperationsIL/TitleTaxonomy
• V1 Location: [xxxxx]
• Files:
  • master.csv : the full denormalized taxonomy
  • taxonomy-schema.json : a JSON structure describing the taxonomy schema
  • dictionary.csv : a table including lists of unique values for taxonomy data validation
  • company.csv: a list of companies with a data operations department, and metadata
  • labelled-job-descriptions.csv : a labelled job descriptions sample for coverage evaluation
  • readme.json : version metadata

Through Google Spreadsheet

Data Operations Job Titles Taxonomy Versioned

Suggested Usages

1. Title search expansion: Filter on the parent title to help extend a title search for job or candidate hunting, by identifying similar child titles related to this parent.

2. Jobs data retrieval and labeling: Retrieve and label online jobs with taxonomy titles.

   1. Skill analysis on jobs and skill-based knowledge base creation
   2. Specialties analysis on jobs

3. Data Operations IL Salary Survey: use classification schemes and parent-based title expansion to group survey participants into new buckets.

Schemes

V1 taxonomy schema

V1 classification schemes

Testing