Dataset of Studies on Gamified Environmental Crowdsourcing (2010–2025)

This dataset contains the screening, coding, and extraction records from a systematic mapping study on gamified environmental crowdsourcing conducted between 2010 and 2025. The dataset documents 169 unique studies after deduplication, covering diverse environmental domains (e.g., air quality, biodiversity, waste, climate), participation models (top-down, bottom-up, hybrid), and gamification mechanics (points, badges, leaderboards, missions, narratives, etc.). Each entry is fully structured in JSON format to ensure reproducibility, machine-readability, and transparent alignment with research questions (RQ1.1 - RQ1.7). Contents: Identification: bibliographic metadata (title, authors, year, DOI/URL, venue name and type). Eligibility: inclusion and exclusion checks, decision outcome, decision notes. Quality Assessment (QA): six core items (e.g., objectives, metrics, methods, empirical evidence) and two optional items (data openness, ethics/privacy), with normalized scores. RQ Minimum Extraction: key variables mapped to research questions, including topic domain, participation model, governance features, gamification mechanics, adaptivity, outcomes, and equity aspects. RQ Alignment Notes: narrative alignment of each study to the sub-questions. Audit Trail: evidence snippets (≤25 words) with page references to support coding decisions. Format: JSON file (revision.json), structured as an array of study records. Compatible with JSON-to-CSV conversion for quantitative synthesis (e.g., bubble plots, heatmaps).