BIOINFORMATICS CORE

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 加速转化科学（AXIS）将是实施CDU研究战略计划的催化剂，并将成为临床和转化研究的综合基地。CDU AXIS的结构包括一个创新和积极主动的治理结构，AXIS会议服务台和九个关键职能/活动。临床和转化研究基础设施将是一个物理和虚拟（网站）中心，通过提供咨询，培训和教育以及整个功能中提供的社区参与资源，将所有研究服务汇集在一起。合作和伙伴关系功能将提供资源，地点，研究和其他活动，将吸引社区和学术界一起探索交叉交流和伙伴关系。多学科培训和职业发展职能将简化和集中整个大学的所有教师发展活动。社区参与和研究功能是一个正式的机制，组织社区资源，并将社区融入CDU的教育过程，以便为跨学科研究团队带来社区专业知识。研究设计和生物统计职能部门将提供研究设计和生物统计方面的咨询和培训活动。参与者和临床互动资源功能将整合一个系统，使设计和生物统计学的资源和专业知识在整个大学更容易获得，以支持从事转化研究的研究人员，并将代表临床研究中心的功能升级。监管知识，道德和支持功能将为研究促进者和研究人员提供直接支持，帮助和咨询;分享最佳实践;并制定创新计划。生物医学信息学功能建议巩固和扩大支持服务，使其提供给所有学科的所有研究人员和教师，以提高知识实施到医疗政策和实践的有效性。核心实验室功能的技术和资源建议重新调整所有CDU学科和合作机构之间的研究人员的支持服务和资源，以提高科学质量。试点项目计划描述了征求建议书、确定项目优先级、审查方法和研究绩效的计划。 具体目标 生物医学信息学功能（BIF）的总体目标是利用新的工具和应用程序，促进生物医学和临床科学从实验室到床边到社区的转化，并促进AXIS内各项目的合作和创新。 为了完成这一使命，BIF将解决生物医学信息学应用的四个焦点：数据，研究参与者，研究人员和培训。在追求这些领域的应用，BIF将有助于促进，促进和改善翻译研究，通过促进护理创新，协助数据挖掘，提供数据管理解决方案和各种信息学研究专业知识，并提高AXIS计划的性能。以下是生物医学信息学功能的四个具体目标： 具体目标1：数据。创建集成临床，转化和社区研究数据的存储库，以创建一个联合研究数据存储库，促进CDU和其他机构研究人员之间的合作和数据共享。 具体目标2：研究参与者。为了使识别，参与，招聘和跟踪潜在的研究参与者群体跨CDU项目以及CDU社区合作伙伴。BIF将协助加强受试者招募和时间安排的现有框架; IRB审查;以及研究监查、设计、执行和跟踪。 目标三：研究人员。通过直接联系和/或基于网络的研究人员门户将生物医学信息学方法集成到新的和正在进行的研究项目中，以加速科学发现并刺激创新。 具体目标4：培训。为CDU研究人员提供使用创新生物医学信息学方法和资源的教育和培训，以及了解关键合作伙伴可以注入其科学的方法。与多学科培训和职业发展职能协调，BIF将为所有教师和学员提供充分的培训，使他们能够有效地与复杂的生物信息学家，计算生物学家，人口遗传学家，地理信息专家等沟通他们的需求和愿望。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. The Accelerating eXcellence In translational Science (AXIS) will be the catalyst to implement the CDU Research Strategic Plan and will become the integrated home for clinical and translational research. The structure of the CDU AXIS includes an innovative and proactive governance structure, the AXIS Concierge Desk, and nine key functions/activities. The Concierge Desk (clinical and translational research infrastructure) will be a physical and virtual (Web site) hub that will bring all research services together by providing consultation, training and education, and community engagement resources offered throughout the functions. The Collaborations and Partnerships Function will provide resources, locations, research, and other activities that will draw community and academia together to explore cross communication and partnerships. The Multidisciplinary Training and Career Development Function will streamline and centralize all faculty development activities across the University. The Community Engagement and Research Function is a formal mechanism to organize community resources and integrate community into the educational process at CDU in order to bring community expertise to interdisciplinary research teams. The Research Design and Biostatistics Function will provide consultation and training activities in research design and biostatistics. The Participant and Clinical Interactions Resources Function will integrate a system to make resources and expertise in design and biostatistics more readily available across the University to support investigators engaged in translational research and will represent an upgrade in functionality of the Clinical Research Center. The Regulatory Knowledge, Ethics, and Support Function will provide direct support, assistance, and consultation to research facilitators and researchers; share best practices; and develop innovative programs. The Biomedical Informatics Function proposes to consolidate and expand the support services, making them available to all investigators and faculty across all disciplines to boost the effectiveness of implementation of knowledge into medical policy and practice. The Technology and Resources for Core Laboratories Function proposes to realign the support services and resources for investigators across all CDU disciplines and among collaborating institutions in an effort to enhance the quality of science. The Pilot Project Program describes the plan to solicit proposals, prioritize projects, and review methodologies and research performance. SPECIFIC AIMS The overall goal of the Biomedical Informatics Function (BIF) leverage new tools and applications to facilitate the translation of biomedical and clinical science from bench-to-bedside-to-community, and foster collaboration and innovation across programs within AXIS. To fulfill this mission, BIF will address four focal points of biomedical informatics applications: data, study participants, researchers, and training. In pursuing applications in these areas, BIF will help to facilitate, promote, and improve translational investigation by fostering innovations in care, assisting in data mining, providing data management solutions and varied informatics research expertise, and improving AXIS program performance. Following are the four specific aims of the Biomedical Informatics Function: Specific Aim 1: Data. Create repositories of integrated clinical, translational, and community research data to create a federated research data repository that will catalyze collaboration and data sharing among researchers at CDU and other institutions. Specific Aim 2: Study Participants. To enable the identification, engagement, recruitment, and tracking of potential research participant cohorts across CDU projects as well as CDU community partners. BIF will assist in enhancing the existing frameworks for subject recruitment and scheduling; IRB review; and study monitoring, design, execution, and tracking. Specific Aim 3: Researchers. Integrate biomedical informatics methods into new and ongoing research projects through direct contact and/or a Web-based researcher portal to accelerate scientific discovery and stimulate innovation. Specific Aim 4: Training. Provide education and training for CDU investigators in the use of innovative biomedical informatics methods and resources as well as understanding methods that key partners can infuse into their science. In coordination with the Multidisciplinary Training and Career Development Function, BIF will provide sufficient training for all faculty and trainees so that they can effectively communicate their needs and desires with sophisticated bioinformaticians, computational biologists, population geneticists, geographic information specialists, etc.