Bibliographic Metadata Errors Across 729 Articles and 34,140 References

Erika Alves dos Santos from Universidade de São Paulo compiled raw and aggregated bibliographic data for a study on citation and referencing habits. The dataset is based on 729 articles from 147 journals across 27 subject areas, containing 34,140 bibliographic references and 55,100 mentions and quotations. It includes raw discipline-specific files, aggregated summary data, a metadata subset, and journal selection information.

Use Cases

• Analyzing trends in bibliographic metadata errors based on aggregated citation data.
• Comparing citation and referencing habits across 27 different scholarly subject areas.
• Identifying the most commonly used bibliographic metadata fields from the starred subset.
• Assessing journal selection criteria and their representation in bibliometric studies.

Strengths

• Based on a substantial corpus of 729 articles and 34,140 references.
• Covers a wide scope of 27 subject areas and 147 journals.
• Provides both raw data files and aggregated summary data for analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Universidade de São Paulo

Collection Method

Extracted from the bibliographic and citation data of published scholarly articles.