Data Science Core

数据科学核心

• 批准号: 10455492
• 负责人: Yun Li
• 金额: $ 16.77万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-28 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10455492
• 关键词: Applications Grants; Attention; Behavioral Genetics; Bioinformatics; Biological; Biometry; Biostatistical Methods; Brain; Brain imaging; Center for Translational Science Activities; Clinical; Clinical Research; Complex; Computational Biology; Conceptions; Data; Data Analyses; Data Collection; Data Science Core; Data Sources; Device or Instrument Development; Educational Status; Ensure; Family; Genetic; Genomics; Individual; Intellectual and Developmental Disabilities Research Centers; Intellectual functioning disability; Laboratories; Manuscripts; Massive Parallel Sequencing; Measurement; Methods; Modernization; Molecular; Multiomic Data; Neurodevelopmental Disorder; Preparation; Proteomics; Psychometrics; Quality of life; Reproducibility; Research; Research Design; Research Personnel; Research Training; Resources; Sample Size; Scientist; Services; Technology; Training; Translational Research; Validation; Writing; base; behavior measurement; behavioral study; bioinformatics resource; collaborative approach; computational neuroscience; computer science; cost effective; design; developmental disease; diagnostic tool; epigenomics; experience; functional magnetic resonance imaging/electroencephalography; high dimensionality; imaging study; innovation; longitudinal design; member; multidimensional data; multidisciplinary; multimodality; personalized intervention; pre-clinical; preclinical study; research study

Abstract Clinical studies of individuals with intellectual and developmental disabilities (IDDs) often involve small sample sizes, longitudinal behavior measurement, and the integration of genetic data. These multifaceted studies invariably require complex methods for data analysis and careful attention to study design to ensure rigor and reproducibility. In addition, massively parallel sequencing technology and multi-modal brain imaging studies generate a deluge of data that must be carefully analyzed to distil biological meaning. Likewise, preclinical studies of IDDs often generate multimodal behavioral, genetic, and other molecular omics data that require complex analytic approaches. While these technologies provide unprecedented opportunities to develop diagnostic tools and personalized interventions for individuals with developmental disorders, most scientists lack the expertise and resources in bioinformatics, biostatistics, computer science, and psychometrics, to make full use of these advanced approaches. The Data Science Core (DSC) was established to make available these critical services and resources to IDDRC investigators and other IDDRC research cores. In this application, 41 projects from 27 IDDRC investigators are proposed for core access. The DSC interacts with the large user base of IDDRC investigators and the Preclinical (PC) and Clinical Translational (CTC) Cores to provide state-of-the- art processing and analysis of modern biomedical data. By consolidating resources and expertise, the DSC facilitates inter-disciplinary, collaborative IDD research, employing the methods of biostatistics, psychometrics, bioinformatics and computational neuroscience. In providing expertise to analyze and interpret complex and high dimensional data, this core maximizes the potential for IDDRC investigators to conduct cutting-edge research to positively impact the quality of life of individuals with IDDs and their families. Through regular interactions with the PC and CTC, the centralized services of the DSC provide expertise within and across preclinical and clinical domains to promote cost-effective, high quality, translational research. Specifically, the DSC has the following aims: Aim 1. To provide innovative and comprehensive biostatistics, psychometrics, and computational neuroscience support to IDDRC investigators. Aim 2. To provide comprehensive bioinformatics support to IDDRC Investigators. Aim 3. To facilitate integrative and multidisciplinary IDDRC research and training.

摘要 智力和发育障碍（IDDs）个体的临床研究通常涉及小样本 尺寸、纵向行为测量和遗传数据的整合。这些多方面的研究 总是需要复杂的数据分析方法，并仔细注意研究设计，以确保严谨性， 再现性此外，大规模并行测序技术和多模式脑成像研究 产生了大量的数据，必须仔细分析，以确定生物学意义。同样，临床前 IDDs的研究通常会产生多模式行为、遗传和其他分子组学数据， 复杂的分析方法。虽然这些技术提供了前所未有的发展机会， 大多数科学家缺乏针对发育障碍患者的诊断工具和个性化干预措施， 生物信息学、生物统计学、计算机科学和心理测量学方面的专业知识和资源， 使用这些先进的方法。数据科学核心（DSC）的建立是为了提供这些 为IDDRC调查人员和其他IDDRC研究核心提供关键服务和资源。在本申请中，41 27名IDDRC调查员的项目被提议用于核心访问。DSC与庞大的用户群互动 IDDRC研究人员以及临床前（PC）和临床转化（CTC）核心提供最新水平 现代生物医学数据的艺术处理和分析。通过整合资源和专业知识，DSC 促进跨学科，合作IDD研究，采用生物统计学，心理测量学， 生物信息学和计算神经科学。在提供专业知识，分析和解释复杂和高 三维数据，这一核心最大限度地发挥了IDDRC调查人员进行尖端研究的潜力， 对缺碘症患者及其家庭的生活质量产生积极影响。通过定期与 PC和CTC，DSC的集中服务提供了临床前和临床之间的专业知识 领域，以促进成本效益，高质量，转化研究。具体而言，DSC具有以下特性 目标：目标1。提供创新和全面的生物统计学，心理测量学和计算 为IDDRC研究人员提供神经科学支持。目标二。提供全面的生物信息学支持， IDDRC调查员。目标3。促进综合性和多学科的非洲工发十年研究和培训。