Data Sciences and Informatics

数据科学和信息学

• 批准号: 10477235
• 负责人: David Margolis
• 金额: $ 23.37万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10477235
• 关键词: Address; Applications Grants; Area; Artificial Intelligence; Basic Science; Bioinformatics; Biological; Biology; Biomedical Computing; Biometry; Clinical; Clinical Trials Design; Computer software; Computerized Medical Record; Custom; Cutaneous; Data; Data Science; Data Set; Data Store; Databases; Dermatology; Disease; Epidemiology; Evaluation; Extramural Activities; Faculty; Generations; Genetic; Genomics; Goals; Health system; Human; Informatics; Knowledge; Machine Learning; Measurement; Medical; Medical Informatics; Medical Records; Metagenomics; Methodology; Methods; Nature; Outcome Study; Pattern; Pennsylvania; Phenotype; Proteomics; Reproducibility; Research; Research Design; Research Personnel; Research Project Grants; Resources; Science; Services; Skin; Source; Subjects Selections; Texture; Translational Research; Translations; Universities; Variant; Work; abstracting; base; biobank; bioinformatics resource; bioinformatics tool; biomedical informatics; clinical investigation; data resource; design; experience; high standard; imaging approach; improved; innovation; interest; microscopic imaging; online tutorial; population stratification; sex; single cell sequencing; skin disorder; success; translational clinical trial

PROJECT SUMMARY The major focus of Core C, the Data Science and Informatics (DSI) core, is to facilitate human discovery through basic and translational research in cutaneous biology and disease by providing assistance to investigators on the planning, design, and analysis (both statistical and informatics) of studies of the skin. The DSI interacts directly with the other Resource Cores and the overall theme of the SBDRC in that bench and human translational research needs to be well designed, properly conducted, and correctly analyzed in order to maintain high standards of rigor and reproducibility. DSI achieves these goals by a combination of epidemiologic, statistical and informatics approaches. By its very nature, DSI will continue to be highly collaborative and will add value to the other cores. DSI Core directors will encourage investigators interested in cutaneous research to work with Core faculty and staff at every stage of design and analysis, thus promoting a team science approach from hypothesis inception to study execution, analysis, and interpretation. DSI’s functions are represented by two Aims that leverage expertise of Core faculty and staff in the following areas: Aim 1: To provide study design and biostatistical services to SBDRC Core users, including: 1) Study design methodologies necessary to design and implement rigorous experimental and clinical investigations; 2) Statistical methodologies critical for the evaluation of each project’s research hypotheses including consideration of sex as a biologic variable; 3) Interpretation of research data to make scientifically and statistically appropriate statements; 4) Translation of bench findings to human research using translational and clinical trial designs. Aim 2: To provide biomedical informatics & computational dermatology services to SBDRC Core users, including: 1) Bioinformatics approaches to allow for the analysis and conceptualization of large genomic and metagenomic datasets; 2) Artificial intelligence-guided approaches to quantify patterns and textures in microscopy images; 3) Medical informatics approaches to query medical records databases from UPHS and extramural sources. A critical barrier to progress in cutaneous biology and skin disease research is the lack of integration of biostatistical, epidemiological (both quantitative and qualitative), and informatics approaches to basic and clinical investigation. DSI will significantly add to the overall success of the SBDRC by addressing this barrier and the specific need for these approaches in human translational research. Implementing such approaches from inception through project completion will improve the reproducibility, rigor, and validity of research findings. The other SBDRC Resource Cores and the Administrative Core will be able to leverage the expertise of DSI faculty and staff to enhance the efficiency, reproducibility, and validity of research promoted by the SBDRC.

项目概要 Core C（数据科学和信息学 (DSI) 核心）的主要重点是促进人类发现 通过皮肤生物学和疾病的基础和转化研究，通过提供援助 皮肤研究的规划、设计和分析（统计和信息学）的研究人员。 DSI 直接与其他资源核心以及该工作台中 SBDRC 的总体主题进行交互 人类转化研究需要精心设计、正确实施和正确分析，才能 为了保持高标准的严谨性和可重复性，DSI 通过以下方式实现了这些目标。 就其本质而言，DSI 将继续高度重视流行病学、统计和信息学方法。 协作并将为其他核心增加价值 DSI 核心董事将鼓励感兴趣的研究人员。 皮肤研究在设计和分析的每个阶段与核心教职人员合作，从而促进 从假设开始到研究执行、分析和解释的团队科学方法。 职能由两个目标代表，利用核心教职员工在以下领域的专业知识： 目标1：为SBDRC核心用户提供研究设计和生物统计服务，包括：1）研究设计 设计和实施严格的实验和临床研究所需的方法；2) 对于评估每个项目的研究假设至关重要的统计方法，包括 将性别视为生物学变量；3）科学地解释研究数据； 4) 使用转化和方法将实验结果转化为人类研究 目标 2：提供生物医学信息学和计算皮肤病学服务。 SBDRC 核心用户，包括：1) 生物信息学方法，用于分析和概念化 大型基因组和宏基因组数据集；2）人工智能引导的方法来量化模式和 显微图像中的纹理；3）用于查询医疗记录数据库的医学信息学方法； UPHS 和外部来源是皮肤生物学和皮肤病研究进展的一个关键障碍。 缺乏生物统计学、流行病学（定量和定性）和信息学的整合 DSI 的基础和临床研究方法将显着促进 SBDRC 的整体成功。 解决这一障碍以及人类转化研究中对这些方法的具体需求。 从项目开始到项目完成实施这些方法将提高可重复性、严谨性、 其他 SBDRC 资源核心和行政核心将能够 利用 DSI 教职员工的专业知识来提高研究的效率、再现性和有效性 由国家发改委推动。