Data Science Core

数据科学核心

• 批准号: 10574562
• 负责人: Xintao Wu
• 金额: $ 18.32万
• 依托单位: UNIVERSITY OF ARKANSAS AT FAYETTEVILLE
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-04-01 至 2026-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10574562
• 关键词: Acceleration; Algorithms; Applications Grants; Arkansas; Artificial Intelligence; Big Data; Bioenergetics; Bioinformatics; Biological Models; Biomedical Research; Centers of Research Excellence; Charge; Cloud Computing; Collaborations; Communities; Consultations; Creativeness; Data; Data Analyses; Data Analytics; Data Management Resources; Data Science; Data Science Core; Data Scientist; Data Set; Data Storage and Retrieval; Databases; Discipline; Disease; Education; Educational workshop; Energy Metabolism; Experimental Designs; Explosion; Faculty; Fostering; Funding; Future; Genomics; Goals; Growth; High Performance Computing; Human Resources; Hybrids; Image; Investments; Metabolic; Metabolism; Methods; Modeling; Modernization; Pediatric Research; Performance; Phase; Preparation; Proteomics; Research; Research Methodology; Research Personnel; Research Project Grants; Role; Science; Services; Spectrum Analysis; Structure; Systems Biology; Techniques; Technology; Training; United States National Institutes of Health; Universities; Vision; Work; biomedical informatics; cohort; computational platform; computing resources; data management; design; innovation; interdisciplinary collaboration; interest; large datasets; member; metabolic phenotype; mitochondrial metabolism; neural network; novel; professor; programs; recruit; skills; synergism; systems research

Project Summary – Data Science Core The field of data science has exploded in growth within the biomedical sciences in recent years, driven in part by artificial intelligence approaches using trained neural networks to analyze large data sets. Existing high- performance computing resources will be consolidated and expanded at the University of Arkansas to establish a Data Science Core in the proposed Arkansas Integrative Metabolic Research Center (AIMRC). The Data Science Core will be a unique core created to meet the research needs of the AIMRC and is an essential component of the research projects proposed by the COBRE project leaders. A team of four data scientists will be assembled that have broad expertise to provide data science support for AIMRC. The Data Science Core will coordinate closely with the AIMRC Bioenergetics and Imaging and Spectroscopy Cores to provide artificial intelligence-based approaches to elucidate relationships between large imaging, bioenergetics, genomic, and proteomic data sets, which can ultimately be used to predict and understand metabolic phenotypes and their role in disease. This coordinated core structure will allow data analytics to be integrated into a cross-disciplinary framework capable of supporting the entire range of technologies and expertise needed for an effective metabolic systems research. Close interaction between the Data Science Core and COBRE Center project leaders will also lead to new innovations in research that will benefit future COBRE investigators as well as the broader campus research community. Opportunities and training in data science will be provided by the core directors to AIMRC members, the campus and researchers in Arkansas.

项目摘要 – 数据科学核心 近年来，数据科学领域在生物医学科学领域呈爆炸式增长，部分原因是 通过人工智能方法，使用经过训练的神经网络来分析现有的高数据集。 阿肯色大学将整合和扩展性能计算资源，建立 拟议的阿肯色州综合代谢研究中心（AIMRC）的数据科学核心。 科学核心将是一个独特的核心，旨在满足 AIMRC 的研究需求，并且是一个必不可少的核心 由四名数据科学家组成的团队将作为 COBRE 领导者项目提出的研究项目的一部分。 汇集具有广泛专业知识的人员，为 AIMRC 提供数据科学支持。 与 AIMRC 生物能学、成像和光谱核心密切合作，提供人工 基于情报的方法来阐明大成像、生物能量学、基因组学和 蛋白质组数据集，最终可用于预测和理解代谢表型及其 这种协调的核心结构将使数据分析能够整合到跨学科中。 能够支持有效代谢所需的全部技术和专业知识的框架 数据科学核心和 COBRE 中心项目负责人之间的密切互动。 还带来了研究方面的新创新，这将使未来的 COBRE 研究人员以及更广泛的研究人员受益 校园研究社区将由核心主任提供数据科学的机会和培训。 AIMRC 成员、阿肯色州校园和研究人员。