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: 10675584
• 负责人: Susan L SANTANGELO
• 金额: $ 88.95万
• 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/10675584
• 关键词: Acceleration; Adopted; American; Artificial Intelligence; Biometry; Clinical; Clinical Investigator; Clinical Research; Collaborations; Community Outreach; Computer software; Data; Data Science; Development; Discipline; Education; Education and Outreach; Elements; Epidemiology; Ethics; Food; Fostering; Funding; Goals; Health; Homelessness; Human Resources; Immigrant; Institution; Investments; 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; 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; 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 和调查人员适当使用方法和计算密集型方法， 他们的研究技术。自NNE-CTR获得资助以来的四年多时间里，BERD核心已经 投入了大量的资源和人员来建设我们的计算和数据基础设施， 支持和促进生物医学研究人员之间的合作研究的主要目标 北方新英格兰的机构我们的成功使我们能够参与大型国家倡议 例如N3 C和RECOVER，以及许多全州和区域合作。的关键要素 我们的成功是我们数据科学能力的发展， 数据共享需要参与这些大型项目。然而，我们的主要任务-和力量-是 我们有能力支持，教育，促进和培训临床研究人员和基础科学家， 在转化研究周期的所有阶段和所有阶段成功的临床和转化研究 调查员的职业生涯。这一努力的一个关键部分是我们的临床和 转化研究导航团队，这对我们各级临床研究者的支持至关重要， 尤其是那些资历较浅的人。他们提供的一切宝贵的指导和资源 从概念化到研究设计、统计和调查方法、伦理培训等， 对于临床研究者的参与和成功至关重要。事实上， 我们实施的创新研究导航模型非常成功， MaineHealth的部门和服务线都聘请了自己的研究导航员，我们有 支持并帮助培训我们开发的最佳实践。该模型侧重于构建 由杰出的基础科学家和感兴趣的多学科团队组成，从事临床工作， 从而确定共同的研究兴趣。它使机构内和机构间 我们两家医疗机构内部和之间的合作。作为一个自然的产物和延伸， 研究导航模型，我们将开发和提供CTR研究设计工作室会议在这接下来的 融资期。此外，我们将加强临床、研究和管理数据的整合，继续 参与国家倡议，如N3 C和RECOVER，提供更密集的培训， N3 C Enclave中的Palantir平台和Enclave中的分析工具，并提供外展和培训 分析师和调查人员使用工具，如ATLAS网络界面访问我们的OMOP数据， 使用R和SHINY进行仪表板开发。我们将扩大合作， 研究人员，并与其他核心合作，提供技术支持，以促进成功的研究。