Digital Transformation of Construction Quality Management: Extraction Dataset

This repository provides the full extraction dataset and quality appraisal outputs underpinning a PRISMA-guided systematic review of digital and Quality 4.0 technologies in construction quality management. The final dataset synthesises 51 included studies published between 2006 and 2026 and captures how technologies are being applied across the quality hierarchy (Inspection, Control, Assurance, and Management), with particular attention to adoption and governance conditions.
For each included study, the dataset records bibliographic metadata (title, authors, year, and country/region as reported), research method and sample characteristics, and the primary “Application Level” within quality management. It documents the “Topic/technology investigated” and associated enabling infrastructures (e.g., AI/ML and computer vision, IoT/sensing, robotics and UAV-enabled inspection, blockchain-based traceability and e-inspection, BIM/digital twin and cloud/platform monitoring, and text mining/NLP of defect records). In addition, it captures reported benefits and drawbacks, reception/implementation context, referenced frameworks, and all KPI/metric reporting (algorithm-level metrics, process/outcome indicators, and whether tool metrics are linked to at least one process/outcome measure), including any reported accuracy/performance values where available.
To support interpretation, the repository also includes Supplementary Table 2 reporting study quality appraisal using the Mixed Methods Appraisal Tool (MMAT), including Q1–Q5 criterion coding and overall ratings for all 51 studies. The dataset is intended to be reusable for secondary synthesis, benchmarking, and routine-centred evaluation of digital QA/QC workflows. It enables readers to trace where evidence is concentrated (inspection/control), where assurance/management implementations remain thinner, how KPI practices vary in clarity and comparability, and where governance-oriented technologies (e.g., traceability/auditability) are being operationalised.