Systematic Review on Educational Quality Assurance Data Management

A systematic review of literature from sources including IEEE, Springer, and Scopus, focusing on academic data management for educational quality assurance. The author is Hernandez Aros, Ludivia, and the record was last updated in January 2026. The specific number of rows, columns, and data size is unknown.

Use Cases

• Analyze literature trends from IEEE, Springer, and Scopus sources to identify research gaps in educational data management.
• Map the co-occurrence of keywords or concepts from the systematic review using Vosviewer for bibliometric analysis.
• Synthesize findings on academic data management practices to inform quality assurance frameworks in engineering and business education.

Strengths

• The record is sourced from the Harvard Dataverse, a reputable data repository.
• The dataset is associated with multiple established academic publishers and databases: IEEE, Springer, and Scopus.
• The record was last updated in January 2026, indicating recent maintenance.

Limitations

• The core dataset content (rows, columns, sample data) is unavailable, preventing assessment of its analytical scope.
• The description lacks concrete details on the number of reviewed papers, analysis methods, or extracted data points.
• The specific file formats and data size are unknown, complicating integration planning.

Provenance

Source

Harvard Dataverse

Collection Method

Systematic literature review from IEEE, Springer, and Scopus sources, with analysis potentially involving Vosviewer.

Freshness

Last updated on 2026-01-29.