Introduction Ethnicity influences dementia etiology, prognosis, and treatment, while culture shapes help‐seeking and care. Despite increasing population diversity in high‐income settlement countries, ethnic minorities remain underrepresented in dementia research. We investigated approaches to enhance the recruitment, and consistent collection and analysis of variables relevant to, ethnic minorities in dementia studies to make recommendations for consistent practice in dementia research. Methods We did a scoping review, searching Embase, PsycINFO, Medline, CENTRAL, and CINAHL between January 1, 2010 and January 7, 2020. Dementia clinical and cohort studies that actively recruited ethnic minorities in high‐income countries were included. A steering group of experts developed criteria through which high‐quality studies were identified. Results Sixty‐six articles were retrieved (51 observational; 15 experimental). Use of interpreters and translators (n = 17) was the most common method to facilitate participant recruitment. Race and ethnicity (n = 59) were the most common variables collected, followed by information on native language (n = 14), country of birth (n = 9), and length of time in country of settlement (n = 8). Thirty‐three studies translated or used a culturally validated instrument. Twenty‐three articles conducted subgroup analyses based on ethnicity. Six high‐quality studies facilitated inclusion through community engagement, collected information on multiple aspects of ethnic diversity, and adjusted/substratified to analyze the impact of ethnicity on dementia. Discussion We make recommendations for consistent recruitment, collection, and reporting of variables relating to ethnic and cultural diversity in dementia research.

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A Frenemy is “a person with whom one is friendly despite a fundamental dislike or rivalry.” (OED, 2018). The Systems Modeling Language (SysML) and the Object Process Methodology (OPM) are two such frenemies. OPM and SysML are different means of achieving Model‐Based Systems Engineering (MBSE), each with their own benefits, issues, supporters and detractors. The National Defense Industry Association (NDIA) defines MBSE as “an approach to engineering that uses models as an integral part of the technical baseline that includes the requirements, analysis, design, implementation, and verification of a capability, system, and/or product throughout the acquisition life cycle.” (NDIA, 2011) SysML is based on the Unified Modeling Language (UML) and includes diagrams that can be used to specify system requirements, behavior, structure and parametric relationships. SysML provides a means of defining high‐level abstract systems down to detailed physical systems. OPM is a “conceptual modeling language and methodology for capturing knowledge and designing systems. Based on a minimal universal ontology of stateful objects and processes that transform them, OPM can be used to formally specify the function, structure, and behavior of artificial and natural systems in a large variety of domains.” (ISO, 2015) OPM is used in some systems engineering graduate courses. Students graduating from these institutions are struggling to integrate the differing styles, philosophies, concepts and processes of SysML and OPM. A literature search reveals some papers that contrast SysML and OPM, but none that describe how the two can work together. This paper discusses a synergy of SysML and OPM in a SysML tool rather than promoting one language over another.