RESEARCH METHODS CORE

社会资本中心(SOCA)的研究和方法核心(RMC)对于满足 中心的总体使命是减少纽约持续贫困地区(PPA)的癌症健康不平等 城市(纽约市)区域。RMC将利用卓越的研究专业知识、培训资源和 康奈尔大学(CU)、哥伦比亚大学欧文医学中心(CUIMC)、DownState Health 科学大学(DownState)和纽约长老会的区域医疗系统和网络 (NYP)医院系统和纽约市卫生部卫生公平、癌症预防和医疗中心 控制和教育部进行预防、筛查、治疗和疾病管理 采取干预措施，减轻与持续贫困有关的癌症健康不平等现象。 RMC将支持和协调SOCA中心内的研究企业，并促进数据 持续减贫指导委员会的协同作用。通过汇聚不同的博士和临床医生干部 生物统计学、流行病学、健康的社会决定因素、文化谦逊、数据协调、 实施科学和患者报告的结果，RMC将支持该中心的跨学科 研究团队，促进研究项目和试点项目的数据协同和整合，支持规划 和评估该中心的研究生产力，并促进与持久贫困的数据联系 首创网络。RMC将为项目调查人员、受训人员和所有人员提供研究方法支持 试点项目的重点是减少持续贫困地区的癌症不平等现象。 RMC将通过以下目标支持中心的使命：(1)提供严格的研究 为两个项目提供设计、方法专长、生物统计学咨询和数据解释支持 通过发展核心进行所有试点研究；(2)建立数据共享平台，确保数据 协调和促进索卡中心、纽约市地区和通过更大的 持久的贫困倡议网络。使数据收集、存储和合并数据元素标准化， 调查，以及跨项目和试点研究的措施，以在整个网络中建立数据协同；以及(3) 监测索卡中心的研究生产力以及成果和方法的传播 标准化指标(例如，每月会诊次数、对学员和教职员工的支持)以及 实施科学框架(例如，实施研究综合框架) 并向管理员提供正式反馈(例如，用户满意度、方法需求评估)， 发展核心和职业提升核心，以实现长期可持续发展。RMC将支持 索卡中心的使命是维持和促进高质量科学的开展，确保 在所有项目和试点中统一数据，保持严格的研究标准，并促进 新的有效办法的长期可持续性和传播。

The Research and Methods Core (RMC) for the Center for SOcial CApital (SoCa) will be critical for meeting the Center’s overall mission to reduce cancer health inequities in persistent poverty areas (PPAs) in the New York City (NYC) Region. The RMC will leverage the exceptional research expertise, training resources, and infrastructure of Cornell University (CU), Columbia University Irving Medical Center (CUIMC), Downstate Health Sciences University (Downstate), and the regional healthcare systems and networks of New York-Presbyterian (NYP) Hospital System and the NYC Department of Health’s Center for Health Equity, Cancer Prevention and Control, and Department of Education to conduct prevention, screening, treatment, and disease management interventions to alleviate cancer health inequities related to persistent poverty. The RMC will support and coordinate the research enterprise within the SoCa Center and facilitate data synergy in the Persistent Poverty Steering Committee. By bringing together a diverse cadre of PhD and clinician scientists in biostatistics, epidemiology, social determinants of health, cultural humility, data harmonization, implementation science, and patient-reported outcomes, the RMC will support the Center’s transdisciplinary research teams, foster data synergy and integration of the research projects and pilot projects, support planning and evaluation of the Center’s research productivity, and facilitate data connections with the Persistent Poverty Initiative Network. The RMC will provide research methodology support for Project investigators, trainees and all pilot projects focused on reducing cancer inequities in areas of persistent poverty. The RMC will support the Center’s mission through the following aims: (1) Provide rigorous study design, methodologic expertise, biostatistics consultation, and data interpretation support to both projects and all pilot studies through the developmental core; (2) Build a Data Commons platform to ensure data harmonization and facilitate connections across the SoCa Center, the NYC region and through the larger Persistent Poverty Initiative Network. Standardize data collection, storage, and incorporating data elements, surveys, and measures across projects and pilot studies to build data synergy across the network; and (3) Monitor the SoCa Center’s research productivity and dissemination of findings and approaches using standardized metrics (e.g., number of consultations per month, support for trainees and faculty) and implementation science frameworks (e.g., The Consolidated Framework for Implementation Research (CFIR)) and provide formal feedback (e.g., user satisfaction, methodology needs assessments) to the ADMIN, Development Core, and Career Enhancement Core to inform long-term sustainability. The RMC will support the mission of the SoCa Center by maintaining and facilitating the conduct of high-quality science, ensuring data harmonization across all projects and pilots, sustaining rigorous standards of research, and promoting long-term sustainability and dissemination of novel and effective approaches.