Scopus-Indexed Dataset on Digital Storytelling in Industrial Heritage (2011–February 2026)

This dataset contains the bibliographic records underlying the study “Digital Storytelling in Transforming Industrial Heritage Landscapes: An Evidence-Chain Audit of Regeneration-Relevant Interpretive Outcomes (2011–2026)”. The data were retrieved from the Scopus database in February 2026 using a structured TITLE-ABS-KEY search strategy combining terms related to industrial heritage and digital storytelling. The search was restricted to English-language publications (Articles and Conference Papers) published between 2011 and February 2026. Following deduplication and multi-stage screening based on predefined inclusion and exclusion criteria, 42 studies were retained for full evidence-chain analysis. The dataset includes: Full bibliographic metadata (authors, titles, year, source title, affiliations, DOI, abstract, keywords) Document type classification Publication year and source distribution Author country and collaboration information Keyword fields used for co-occurrence mapping and thematic clustering This dataset supports: Micro-bibliometric mapping (publication trends, source ecology, geographic distribution) Keyword co-occurrence network analysis Evidence-chain traceability auditing at the study level The dataset is provided for transparency, reproducibility, and secondary bibliometric analysis. No personal data beyond publicly available bibliographic metadata are included.