Analysis Core (Anc)

数据和分析核心（AnC）的目标，建议阿尔茨海默氏症相关的资源中心少数老龄化 研究（AD-RCMAR），质量扩展，是通过咨询，指导和手支持RCMAR科学家- 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科学家将需要依靠标准的数据收集和分析工具， 以及开发新工具，并在利用新的、通常是技术驱动的工具方面进行创新。Anc将提供 指导实施最佳实践，并引导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、布里格姆妇女医院、 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Claude O. Pepper美国老年人 独立中心（OAIC），希伯来老年生活，等等。AnC将由Bettina Hoeppner博士和Benjamin博士领导 库克，并将获得经验丰富的统计学家，定性数据专家和系统工程师的支持。我们的团队 建立在四个关键优势：（1）在各种研究环境和主题中的深厚指导经验， AnC成员曾担任许多NIH资助的职业发展奖的导师（例如，F32s、K01s、K23s、K12s）; (2)专注于多样化和代表性不足的医学（UiM）人群，我们的AnC Co-Lead为他们提供行为 重点关注少数群体、边缘化或被污名化群体的社会科学研究项目;（3）经证明的投资 汇集科学推进资源并使其广泛可用（例如，NIDA资助的R24的PI关于推进 恢复社区中心的科学; P50 ALACRITY中心的PI）;以及（4）共同致力于拆除结构 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 程序，R13 s）。AnC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科学家独特和新兴的测量需求; 3）提供有关移动健康数据的指导， RCMAR科学家;以及4）在Mass-ESPRSION和AD-RCMARs中管理现有和新兴的数据源。在 总而言之，拟议的大规模数据和分析核心将通过咨询支持RCMAR科学家， 指导，并在项目进展过程中的关键点上提供实际支持。AnC将指导RCMAR科学家 在最佳数据实践中，这将使他们的研究成果迅速转化为出版物，促进他们的长期- 长期研究事业的成功，并促进跨RCMAR研究的数据源的协调。

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.