SAGE Study: Article Screening Dataset for Systematic Reviews

A 46.9 MB dataset from the SAGE study, containing records from an article screening step for systematic reviews. The dataset, authored by Mathias Pietrancosta, is available in CSV, XLSX, and TXT formats under a CC-BY-4.0 license and was last updated on June 3, 2026.

Use Cases

• Train classification models to identify relevant articles based on screening criteria.
• Benchmark natural language processing tools for document prioritization in review workflows.
• Analyze patterns in article inclusion/exclusion decisions during systematic reviews.

Strengths

• Available under a permissive CC-BY-4.0 license for reuse.
• Provided in multiple common formats (CSV, XLSX, TXT) for accessibility.

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

figshare

Collection Method

Likely extracted from a systematic review process, but the specific collection method is not detailed.

Time Range

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Freshness

Last updated 2026-06 03 19:54:47; freshness should be verified.

Geography

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