FRBR Bibliographic Reference Data from 729 Articles Across 27 Subject Areas

A collection of raw and aggregated data from a study analyzing bibliographic references, mentions, and quotations in academic articles. The dataset is based on a sample of 729 articles from 147 journals across 27 thematic areas, containing 34,140 bibliographic references, 53,461 mentions, and 1,639 quotations. It was created by Erika Alves dos Santos at the Universidade de São Paulo as part of a doctoral thesis on FRBRizing bibliographic reference structures.

Use Cases

• Analyzing citation patterns and structures based on the collection of 34,140 bibliographic references.
• Studying the use of in-text reference pointers (mentions and quotations) across different academic disciplines.
• Developing or refining bibliographic ontologies, such as FaBiO, using the aggregated metadata from the sample.
• Investigating disciplinary differences in referencing practices using the data separated into 27 subject area sheets.

Strengths

• The sample is based on 729 articles from 147 journals, providing a multi-disciplinary foundation.
• Contains specific counts of analyzed elements: 34,140 bibliographic references, 53,461 mentions, and 1,639 quotations.
• Data is organized into structured Excel sheets, including a dedicated 'starred metadata set' for ontology development.

Limitations

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

Provenance

Source

Universidade de São Paulo (doctoral thesis by Erika Alves dos Santos).

Collection Method

Analysis of citing and referencing elements from articles indexed by the SCImago Journal & Country Rank.