Delaware Clinical and Translational Research ACCEL Program-BERD Core

抽象-BERD 特拉华州-CTR加速器的生物统计学、流行病学和研究设计(BERD)KCA取得了成功- 充分实现最初的具体目标：提供跨Accel机构的咨询，提供教育 论坛、制定方法和支持大数据试点赠款。Berd有熟练的，经验丰富的流行病学- 科学家、生物统计学家、生物信息学家和生物医学信息学家组成了一个关键的科学家群体，以支持- PORT临床和转化项目。这一成功是由四个当前 Accel伙伴机构：特拉华大学(UD)、内穆尔/阿尔弗雷德·I·杜邦儿童医院 南卡罗来纳医科大学(MUSC)的克里斯蒂娜保健保健系统(CCHS)。我们看着 期待着欢迎特拉华州立大学(DSU)来到BERD，作为此次续签的一部分。每个Accel机构都有 具有流行病学、生物统计学和生物信息学专业知识的组织计划，MUSC已经建立了 CTSA，南卡罗来纳州临床和翻译研究所(SCTR)。Accel大体和BERD in 特别是与SCTR密切合作。BERD还与CCHS的价值研究所(VI)密切合作， 以及新成立的生物医学研究信息学中心(BRIC)。VI是一款创新的 研究医疗保健提供以及翻译研究的研究机构。金砖四国是一个生物信息团队- CIAN、数据科学家和开发人员是为了应对不断扩大的研究之间桥梁设施的需求而成立的 和临床信息学。此外，密歇根州立大学和密歇根州立大学在生物信息方面都有相当的基础设施和专业知识。 马蒂奇。金砖四国、SCTR、VI、UD和DSU的科学家进一步增强了Accel和BERD的整体实力 发展基础设施和足够数量的调查人员，以支持与卫生有关的重要项目 和特拉华州的医疗保健。BERD还与其他Accel KCA和一些BERD密切合作 科学家是多个KCA的成员，促进部件的互连。BERD的具体目标是 致：1：在Accel机构提供临床、翻译和人口健康科学咨询服务。 咨询服务包括流行病学、生物统计学、研究设计、数据管理以及生物和医学。 信息学。2：在生物统计学、流行病学和生物信息学方面开发新的、创新的和定量的方法。 3：通过在BERD科学家的专业领域提供教育服务，营造学习环境。4：杠杆作用 Accel研究所的深度生物医学信息学和生物信息学资源，以支持新的和 解决特拉华州关键医疗需求的扩展研究项目。我们处于有利地位，能够提供这样的服务 支持，建立在第一个AC-CEL授权期内建立的成功基础设施基础上，包括开发- 与多个IDEA资助的中心进行外部协作，成为大规模外部数据的组成部分 PEDSnet和NIH大数据到知识(BD2K)等网络，以及为大数据跨学科提供内部资金- Ary飞行员补助金。

Abstract—BERD The Biostatistics, Epidemiology and Research Design (BERD) KCA of the Delaware-CTR ACCEL has been success- ful in meeting the original Specific Aims: providing consultations across ACCEL institutions, providing educational forums, developing methods, and supporting the Big Data Pilot grants. BERD has skilled, experienced epidemiolo- gists, biostatisticians, bioinformaticians, and biomedical informaticians forming a critical mass of scientists to sup- port clinical and translational projects. This success has been fostered by close collaboration across the four current ACCEL partner institutions: The University of Delaware (UD), the Nemours/Alfred I. DuPont Hospital for Children (Nemours), Christiana Care Health System (CCHS), the Medical University of South Carolina (MUSC). We look forward to welcoming Delaware State University (DSU) to BERD as part of this renewal. Each ACCEL institution has organizational programs with expertise in epidemiology, biostatistics and bioinformatics, MUSC has an established CTSA, the South Carolina Clinical and Translational Research Institute (SCTR). ACCEL in general and BERD in particular have collaborated closely with SCTR. BERD also functions closely with the Value Institute (VI) at CCHS, and the newly established Biomedical Research Infor-matics Center (BRIC) at Nemours. The VI is an innovative research institute for studying healthcare delivery as well as translational research. BRIC is a team of bioinformati- cians, data scientists, and developers formed in response to the expanding need for a bridge facility between research and clinical informatics. In addition, UD and DSU both have considerable infrastructure and expertise in bioinfor- matics. The scientists at the BRIC, SCTR, VI, UD and DSU add to the overall strength of ACCEL and BERD in further developing infrastructure and the critical mass of investigators to support projects of importance concerning health and healthcare in Delaware. BERD has also collaborated closely with the other ACCEL KCAs and a number of BERD scientists are members of multiple KCAs, promoting component interconnectedness. The Specific Aims of BERD are to: 1: Provide consultative services for clinical, translational and population health sciences at ACCEL institutions. Consultative services include epidemiology, biostatistics, research design, data management, and bio- and medical informatics. 2: Develop new, innovative, and quantitative methods in biostatistics, epidemiology, and bioinformatics. 3: Foster a learning environment through educational offerings in BERD scientists’ areas of expertise. 4: Leverage the deep biomedical informatics and bioinformatics resources across the ACCEL institu-tions to support new and extended research projects addressing critical healthcare needs in Delaware. We are well-positioned to provide such support, building on the successful infrastructure established over the first AC-CEL award period, including develop- ing external collaborations with multiple IDeA-funded centers, becoming an integral part of large-scale external data networks such as PEDSnet and NIH Big Data to Knowledge (BD2K), and internally funding Big Data interdisciplin- ary pilot grants.