DATASET - Human-AI Collaboration in Occupational Risk Prevention

Published: 23 July 2026| Version 1 | DOI: 10.17632/c7fh6ny34v.1
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Description

The database contains bibliographic and analytical information for each study included in the review. Each record represents a scientific article and includes variables that characterize both the study and the AI ​​solutions used, as well as the results obtained.

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Steps to reproduce

To reproduce this dataset, first define the research questions and protocol following the PRISMA-ScR guidelines. Conduct comprehensive searches across selected scientific databases using predefined search strings related to Human–AI Collaboration and Occupational Risk Prevention. Export all retrieved records and remove duplicates. Perform title, abstract, and full-text screening according to the established inclusion and exclusion criteria. Extract bibliographic, methodological, technological, and outcome-related information using a standardized data extraction form. Validate the extracted data through independent reviewers and resolve disagreements by consensus. Finally, organize the curated records into the provided dataset structure, ensuring consistency, completeness, transparency, and reproducibility.

Categories

Occupational Disease

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