Bianca Vitalaru's qualitative dataset, harvested via e-cienciaDatos from Dataverse, collects keywords and brief ideas from participants on translation and interpretation in public services. The data, last updated on October 14, 2025, covers participant profiles, hiring requirements, and sought competencies. Information is grouped by sector, including public institutions, NGOs, private companies, and freelance professionals.
Use Cases
- Analyzing sector-specific hiring requirements based on the described data grouping by public and private sector.
- Mapping the competencies sought by employers based on the described categories of skills and abilities.
- Profiling the working contexts of translators and interpreters based on described service types, situations, and requesting bodies.
Strengths
- Data is structured by sector (public vs. private), which may allow for comparative analysis.
- Covers multiple facets of the profession, including participant profiles, hiring requirements, and competencies.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Vitalaru, Bianca via e-cienciaDatos Harvested Dataverse
- Collection Method
- Qualitative data collection compiling keywords and brief ideas from participants.
- Time Range
- null
- Freshness
- Last updated 2025-10 14 21:34:24; freshness should be verified.
- Geography
- null