Data Science COre

数据科学核心

• 批准号: 10688378
• 负责人: Yu Shyr
• 金额: $ 56.56万
• 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 2024-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10688378
• 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; Informatics; Laboratory Animals; Malignant neoplasm of lung; Manuscripts; Methods; Monitor; Participant; Publications; Qi; Quality Control; Reporting; Research; Research Design; Research Personnel; Research Project Grants; SARS-CoV-2 infection; Sample Size; Science; Serology; 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：抽象