Biostatistics, Epidemiology, and Research Design Core

生物统计学、流行病学和研究设计核心

• 批准号: 10505152
• 负责人: Susan L SANTANGELO
• 金额: $ 88.76万
• 依托单位: MAINEHEALTH
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-03 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10505152
• 关键词: Adopted; American; Artificial Intelligence; Biometry; Clinical; Clinical Investigator; Clinical Research; Collaborations; Community Outreach; Computer software; Data; Data Science; Development; Discipline; Education and Outreach; Elements; Ethics; Food; Fostering; Funding; Goals; Health; Homelessness; Human Resources; Immigrant; Institutes; Institution; Link; Machine Learning; Maine; Medicine; Mentorship; Methodology; Methods; Mission; Modeling; Native Americans; New England; New Hampshire; Opioid; Population; Post-Acute Sequelae of SARS-CoV-2 Infection; Research; Research Design; Research Personnel; Resources; Rural; Sampling; Scientist; Services; Statistical Methods; Survey Methodology; Technology; Training; Training and Education; Translational Research; Underserved Population; Universities; Vermont; Vulnerable Populations; Work; analytical method; analytical tool; career; collaborative environment; college; community engagement; computer infrastructure; dashboard; data access; data infrastructure; data sharing; data warehouse; design; educational atmosphere; epidemiology study; health care service organization; human disease; human model; improved; innovation; inter-institutional; interest; multidisciplinary; outreach; predictive modeling; statistics; success; tool; web interface

The goal of The Biostatistics, Epidemiology, and Research Design (BERD) Core is to support NNE-CTR Cores and investigators in the appropriate use of methodologies and computationally-intensive approaches and technologies for their studies. In the four-plus years since the NNE-CTR was funded, the BERD Core has invested considerable resources and personnel in building out our computational and data infrastructures, with a major goal of supporting and facilitating collaborative research among investigators at the biomedical institutions of northern New England. Our success has enabled our participation in large national initiatives such as N3C and RECOVER, as well as numerous state-wide and regional collaborations. A critical element of our success has been the development of our data science capabilities that have enabled the collaborative data sharing needed to participate in these large projects. However, our primary mandate -- and strength -- is our ability to support, educate, facilitate, and train clinical investigators and basic scientists in carrying out successful clinical and translational research at all stages of the translational research cycle and at all stages of an investigator's career. A key piece of this effort has been the continued development of our Clinical and Translational Research Navigation team, which is critical to the support of our clinical investigators at all levels, but particularly those who are more junior. The valuable guidance and resources they provide on everything from conceptualization to study design, statistical and survey methods, ethics training, and beyond is fundamentally necessary for the engagement and success of clinical investigators. In fact, the unique and innovative Research Navigation model we implemented has been so successful that several of the clinical departments and service lines at MaineHealth have hired their own research navigators, whom we have supported and helped to train in the best practices we developed. The model focuses on building multidisciplinary teams composed of outstanding basic scientists and interested, engaged clinicians who share ideas and thereby identify common research interests. It has enabled both intra- and inter-institutional collaboration within and between our two healthcare organizations. As a natural outgrowth and extension of the Research Navigation model, we will develop and offer CTR Research Design Studio sessions in this next funding period. Further, we will enhance the integration of clinical, research, and administrative data, continue to participate in national initiatives such as N3C and RECOVER, provide more intensive training in use of the Palantir platform in the N3C Enclave and the analytic tools in the Enclave, and provide outreach and training to analysts and investigators on the use of tools, such as the ATLAS web interface for accessing our OMOP data, and dashboard development using R and SHINY. We will expand collaborations to bring more opportunities to investigators and work with the other Cores to provide technical support to spur successful research.

生物统计学，流行病学和研究设计（BERD）核心的目标是支持NNE-CTR核心 调查人员适当使用方法和计算密集型方法以及 他们的研究技术。自NNE-CTR资助以来的四年以上，Berd Core拥有 投入了大量资源和人员，以建立我们的计算和数据基础架构，并使用 支持和促进生物医学研究人员的合作研究的主要目标 新英格兰北部的机构。我们的成功使我们能够参与大型国家倡议 例如N3C和恢复，以及众多全州和地区合作。一个关键要素 我们的成功一直是我们的数据科学能力的发展，这些功能使协作能力 参与这些大型项目所需的数据共享。但是，我们的主要任务和力量是 我们支持，教育，促进和培训临床研究人员和基础科学家的能力 在翻译研究周期的各个阶段和各个阶段的各个阶段成功的临床和转化研究 调查员的职业生涯。这项工作的关键是我们的临床和 转化研究导航小组，这对于我们各级临床研究人员的支持至关重要， 但是特别是那些更年轻的人​​。他们在所有方面提供的宝贵指导和资源 从概念化到研究设计，统计和调查方法，道德培训及以后 从根本上讲，对于临床研究人员的参与和成功所必需。实际上，独特和 我们实施的创新研究导航模型非常成功，以至于几个临床 MaineHealth的部门和服务线已雇用了自己的研究导航员 支持并帮助训练我们开发的最佳实践。该模型着重于建造 由杰出的基本科学家和有兴趣的，参与的临床医生组成的多学科团队，他们分享 想法，从而确定共同的研究兴趣。它已经启用了内部和机构间 我们两个医疗保健组织之间和之间的协作。作为自然的生长和扩展 研究导航模型，我们将在下一个开发和提供CTR研究设计工作室会议 资金期。此外，我们将增强临床，研究和行政数据的整合，继续 为了参与N3C等国家倡议并恢复，提供了更深入的培训 N3C飞地的Palantir平台和飞地中的分析工具，并提供外展和培训 分析师和研究人员使用工具的使用，例如Atlas Web界面访问我们的OMOP数据， 以及使用R和Shiny开发仪表板。我们将扩大合作，以带来更多机会 调查人员并与其他核心合作，为成功的研究提供技术支持。