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필드 매핑 범위 검토×매핑 검토×
분야과학계량학과학계량학
계열Process / pipelineProcess / pipeline
기원 연도2005 (foundational framework); field-mapping purpose formalised c. 2015–2018Late 1990s–2000s; major methodological formalization ~2010s
창시자Arksey & O'Malley (scoping review framework); field-mapping purpose formalised by Munn et al. and Peters et al.Buckland & Gann (1998); formalized by systematic review community (Campbell Collaboration, Collaboration for Environmental Evidence)
유형Evidence synthesis — systematic review variantSystematic evidence mapping methodology
원전Munn, Z., Peters, M. D. J., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018). Systematic review or scoping review? Guidance for authors when choosing between a systematic review and scoping review approach. BMC Medical Research Methodology, 18, 143. DOI ↗James, K. L., Randall, N. P., & Haddaway, N. R. (2016). A methodology for systematic mapping in environmental sciences. Environmental Evidence, 5(1), 7. DOI ↗
별칭field-mapping scoping study, evidence-mapping scoping review, field map review, scoping review for field mappingevidence map, systematic map, research map, literature map
관련66
요약A field-mapping scoping review is a purposive variant of the scoping review in which the overarching goal is to chart the conceptual and empirical landscape of a research field — identifying what has been studied, by whom, using which methods, and where knowledge gaps remain. It follows the Arksey and O'Malley scoping framework but is explicitly oriented toward producing a structured map of a field rather than answering a focused clinical or policy question.A mapping review (also called a systematic map or evidence map) is a form of systematic review that aims to chart the extent, range, and nature of evidence on a broad topic rather than synthesize findings into a single pooled answer. It categorizes studies by key dimensions — such as intervention type, population, outcome, and study design — and presents the resulting landscape visually and tabularly so that researchers and practitioners can identify clusters of evidence, knowledge gaps, and priorities for future primary research or deeper synthesis.
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