Digital Technology in Construction Safety Research Bibliometric Dataset and Coding Sheet

12,087 deduplicated publication records from 2010 to 2025 support a scientometric analysis of digital technologies in construction safety. The dataset includes bibliometric data and a manual content analysis coding sheet for 1,209 papers. It was created by Maximino Gambat and published in 2026.

Use Cases

• Analyze trends in primary technology adoption (e.g., BIM, IoT, AI/ML) over publication_year using the bibliometric dataset.
• Measure the theory-practice translation gap by comparing implementation_status against safety_application_domain in the content analysis sheet.
• Assess research impact by correlating citation_metrics with country or source fields across the 12,087 records.
• Validate classification consistency using the provided inter-rater reliability metric (Cohen's κ = 0.84) from the content analysis.
• Map global research contributions by country for specific safety domains like hazard detection or worker training.

Strengths

• 12,087 deduplicated publication records provide a substantial sample for analysis.
• Manual content analysis covers 1,209 papers with a high inter-rater reliability (Cohen's κ = 0.84).
• Data spans a 16-year period from 2010 to 2025, enabling longitudinal trend analysis.

Limitations

• The content analysis coding sheet covers only a 10% stratified sample (1,209 papers) of the full bibliometric dataset.
• Geographic coverage is dependent on the source databases (Scopus and Web of Science), which may introduce a publication bias.
• The dataset is static as of the retrieval date (15 December 2025) and does not include real-time updates.

Provenance

Source

Scopus and Web of Science bibliographic databases.

Collection Method

Records were retrieved, deduplicated, and supplemented with manual content analysis coding.

Time Range

2010–2025

Freshness

Data was retrieved on 15 December 2025 and the record was last updated in April 2026.

Geography

Global, as indicated by the country field.