Data Science COre

数据科学核心

• 批准号: 10222308
• 负责人: Yu Shyr
• 金额: $ 49.57万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-30 至 2022-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10222308
• 关键词: 2019-nCoV; Address; Antibodies; Berry; Bioinformatics; Biometry; Clinical; Collaborations; Computer software; Data; Data Analyses; Data Science Core; Databases; Development; Ensure; Experimental Designs; Human Resources; Infection; Informatics; Laboratory Animals; Malignant neoplasm of lung; Manuscripts; Methods; Monitor; Participant; Publications; Qi; Quality Control; Reporting; Research; Research Design; Research Personnel; Research Project Grants; Sample Size; Science; Serological; Statistical Methods; Testing; Time; Work; Writing; base; data cleaning; data quality; member; quality assurance; research and development; translational study

DATA SCIENCE CORE: ABSTRACT The purpose of the Data Science Core (DSC) is to provide professional expertise in biostatistics, bioinformatics and research informatics for all SARS-CoV-2 Serological Sciences Centers of Excellence (U54) projects, investigators and participants. Functions provided by this core include development of experimental designs and power and sample size analysis; database development, data quality control; statistical and bioinformatic analysis and interpretation of findings; and collaboration on presentation of results. To achieve these functions, the core director, Dr Yu Shyr, and core members, Drs. Lynne Berry, Qi Liu and Emanuela Taioli, are constantly available to investigators and are in regular contact with project and core leaders. The primary objectives of the DSC are: 1. To provide study design and review all laboratory, animal and translational studies including feasibility assessment, power and sample size analysis. 2. To collaborate in project data analysis, interpretation of results and the writing of final study reports and manuscripts. 3. To work with the Clinical Core in the development of research project databases to maintain data quality control and to ensure timely data capture. 4. To develop and evaluate statistical/bioinformatic methods for experimental design and data analysis. DSC support is required in all U54 studies. Core personnel have worked and will continue to work closely with project leaders to ensure the core provides state-of-the-art statistical, bioinformatic and research informatic support as needed.

数据科学核心：摘要 数据科学核心（DSC）的目的是提供生物统计学，生物信息学方面的专业专业知识 以及所有SARS-COV-2血清学科学卓越中心（U54）项目的研究信息学， 调查人员和参与者。该核心提供的功能包括开发实验设计和 功率和样本量分析；数据库开发，数据质量控制；统计和生物信息学分析 和发现的解释；以及有关结果的合作。为了实现这些功能，核心 主任Yu Shyr博士和核心成员，博士。 Lynne Berry，Qi Liu和Emanuela Taioli不断可用 调查人员并定期与项目和核心领导者接触。 DSC的主要目标是： 1。提供研究设计和审查所有实验室，动物和翻译研究，包括可行性 评估，功率和样本量分析。 2。在项目数据分析中合作，结果解释以及最终研究报告的写作以及 手稿。 3。与临床核心一起开发研究项目数据库以维持数据质量控制 并确保及时的数据捕获。 4。开发和评估用于实验设计和数据分析的统计/生物信息学方法。 在所有U54研究中都需要DSC支持。核心人员已经工作并将继续与 项目负责人确保核心提供最先进的统计，生物信息学和研究信息 根据需要的支持。