Analysis Core (Anc)

拟议的阿尔茨海默氏症相关少数民族老龄化资源中心的数据和分析核心(ANC)的目标 研究(AD-RCMAR)，MassenVision，是通过咨询、指导和动手来支持RCMAR科学家- 关于支持实施最佳数据做法。在进行拟议的阿尔茨海默病和相关的 痴呆症(ADRD)研究项目，RCMAR科学家将需要依赖标准的数据收集和分析工具，如 以及开发新工具，并在利用通常由技术驱动的新颖工具方面进行创新。非国大将提供 指导实施最佳做法，并利用RCMAR可用的大量专业知识和资源 科学家通过与马萨诸塞州总医院、布里格姆和妇女医院建立的大众设想联盟， 哈佛医学院、波士顿大学(BU)和波士顿大学医学院、剑桥健康联盟、 马萨诸塞州阿尔茨海默病研究中心(MADRC)，BU-ADRC，波士顿克劳德·O·佩珀老年美国人 独立中心(OAIC)、希伯来语老年人生活等。非国大将由贝蒂娜·霍普纳博士和本杰明博士领导 将由有经验的统计学家、定性数据专家和系统工程师提供支助。我们的团队 建立在四个关键优势的基础上：(1)跨各种研究环境和主题的深入指导经验，其中我们的 非国大成员曾在许多由NIH资助的职业发展奖上担任导师(例如，F32、K01、K23、K12)； (2)关注多元化和在医学(UIM)中代表性不足的人群，我们的非国大联合领导针对这些人群运行行为 和社会科学研究项目，重点关注UIM、边缘化或被污名化的人群；(3)展示投资 在汇集促进科学的资源并使其广泛可用方面(例如，NIDA资助的R24的PI关于推动 关于恢复社区中心的科学；P50敏捷中心的PI)；以及(4)共同致力于拆除结构性建筑 通过指导来自不同背景的有前途的科学家(例如，UIM本科生培训)来实现种族主义 程序，R13)。非国大的具体目标是：1)为RCMAR科学家提供(统计、数据分析)指导； 2)支持RCMAR科学家独特的和新兴的测量需求；3)提供关于mHealth数据的指导，以 RCMAR科学家；以及4)管理质量设想和AD-RCMAR中现有的和新兴的数据源。在……里面 摘要，拟议的质量设想数据和分析核心将通过协商支持RCMAR科学家， 在项目进展过程中，在关键时刻提供指导和实际支持。非国大将指导RCMAR科学家 在能够将他们的研究成果迅速转化为出版物的最佳数据做法中，促进他们的长期 学期研究事业的成功，并促进协调各种RCMAR研究的数据来源。

The goal of the Data and Analysis Core (AnC) of the proposed Alzheimer's-related Resource Center for Minority Aging Research (AD-RCMAR), Mass-ENVISION, is to support RCMAR Scientists through consultation, guidance, and hands- on support for the implementation of best data practices. In conducting the proposed Alzheimer disease and related dementias (ADRD) research projects, RCMAR Scientists will need to rely on standard data collection and analysis tools as well as develop new tools and innovate in the leveraging of novel, often technology-driven, tools. The AnC will provide guidance on implementing best practices, and navigating the substantial expertise and resources available to RCMAR Scientists through Mass-ENVISION affiliations with Massachusetts General Hospital, Brigham and Women’s Hospital, Harvard Medical School, Boston University (BU) and BU School of Medicine, Cambridge Health Alliance, the Massachusetts Alzheimer’s Disease Research Center (MADRC), BU-ADRC, Boston Claude O. Pepper Older Americans Independence Center (OAIC), Hebrew SeniorLife, and more. The AnC will be led by Drs. Bettina Hoeppner and Benjamin Cook, and will be supported by access to experienced statisticians, qualitative data experts and system engineers. Our team builds on four key strengths: (1) deep mentoring experience across a diversity of research settings and topics, where our AnC members have served as mentors on numerous NIH-funded career development awards (e.g., F32s, K01s, K23s, K12s); (2) a focus on diverse and underrepresented in medicine (UiM) populations, for whom our AnC Co-Leads run behavioral and social science research projects focusing on UiM, marginalized or stigmatized populations; (3) demonstrated investment in pooling science-advancing resources and making them broadly available (e.g., PI of NIDA-funded R24 on advancing the science on recovery community centers; PI of P50 ALACRITY Center); and (4) a shared dedication to dismantling structural racism through mentorship of promising scientists from diverse backgrounds (e.g., UiM undergraduate student training program, R13s). The specific aims of the AnC are to: 1) Provide (statistical, data analysis) mentoring to RCMAR Scientists; 2) Support unique and emerging measurement needs for RCMAR Scientists; 3) Provide guidance on mHealth data to RCMAR Scientists; and 4) Curate existing and emerging data sources across Mass-ENVISION and AD-RCMARs. In summary, the proposed Mass-ENVISION Data and Analysis Core will support RCMAR Scientists through consultation, guidance, and hands-on support at key points during the progress of their projects. The AnC will guide RCMAR Scientists in best data practices that will enable the rapid translation of their research findings into publications, promote their long- term research career success, and facilitate the harmonization of data sources across RCMAR studies.