Informatics Professionals and Their Organizations in Peru

Anonymized details of informants and the organizations they belong to, structured across three files. It was created by Miguel Saravia López de Castilla and is hosted by the Research on Pertinence Dataverse.

Use Cases

• Analyze anonymized informant details from the Secundaria-P file to study demographic or professional profiles.
• Examine organizational data from the Secundaria-O file to understand the structure of informants' workplaces.
• Use the synthesized information in the PDF document to cross-reference data between individual informants and their organizations.

Strengths

• Data anonymization was approved by the Ethics Committee of the Pontificia Universidad Católica del Perú.
• Information is provided in multiple file formats (XLSX, TXT, CSV, PDF) for accessibility.
• The dataset is categorized under Social Sciences and Business and Management tags.

Limitations

• The specific number of rows, columns, and data volume is unknown.
• The sample data and exact file structure are unavailable for preview.
• The temporal and geographic coverage of the data is not specified.

Provenance

Source

Research on Pertinence Dataverse

Collection Method

Data collection method is not specified in the provided description.

Freshness

2026-01-28

Geography

Peru (implied by the involvement of Pontificia Universidad Católica del Perú)