Сравнение на методи

	Обзорен преглед за картографиране на област	Преглед на картографирането
Област	Наукометрия	Наукометрия
Семейство	Process / pipeline	Process / pipeline
Година на възникване	2005 (foundational framework); field-mapping purpose formalised c. 2015–2018	Late 1990s–2000s; major methodological formalization ~2010s
Създател	Arksey & 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)
Тип	Evidence synthesis — systematic review variant	Systematic evidence mapping methodology
Основополагащ източник	Munn, 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.	James, K. L., Randall, N. P., & Haddaway, N. R. (2016). A methodology for systematic mapping in environmental sciences. Environmental Evidence, 5(1), 7.
Други названия	field-mapping scoping study, evidence-mapping scoping review, field map review, scoping review for field mapping	evidence map, systematic map, research map, literature map
Свързани	6	6
Резюме	A 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.