Data Sciences and Informatics

数据科学和信息学

• 批准号: 10663986
• 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/10663986
• 关键词: Address; Applications Grants; Area; Artificial Intelligence; Basic Science; Bioinformatics; Biological; Biology; Biomedical Computing; Biometry; 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; Pattern; Pennsylvania; Phenotype; Proteomics; Reproducibility; Research; Research Design; Research Personnel; Research Project Grants; Resources; Science; Services; Skin; Source; Subjects Selections; Texture; Translational Research; Translational trial; Translations; Universities; Variant; Work; abstracting; biobank; bioinformatics resource; bioinformatics tool; biomedical informatics; clinical epidemiology; 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

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.

项目摘要 核心C（数据科学和信息学（DSI）核心）的主要重点是促进人类发现 通过在皮肤生物学和疾病方面的基础和转化研究， 皮肤研究的规划、设计和分析（包括统计学和信息学）。的 DSI直接与其他资源核心和SBDRC的整体主题进行交互， 人类翻译研究需要精心设计，正确进行，正确分析， 以保持高标准的严谨性和可重复性。DSI通过以下组合实现这些目标： 流行病学、统计学和信息学方法。就其本质而言，DSI将继续保持高度 协作，并将为其他核心增加价值。DSI核心董事将鼓励有兴趣的调查人员 皮肤研究与核心教师和工作人员在设计和分析的每一个阶段，从而促进了一个 团队科学方法从假设开始到研究执行，分析和解释。DSI的 职能由两个目标代表，利用核心教师和工作人员在以下领域的专业知识： 目的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） 对评估每个项目的研究假设至关重要的统计方法，包括 考虑性别作为一个生物学变量; 3）解释研究数据，使科学和 统计学上适当的声明; 4）使用翻译和 临床试验设计。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，以允许分析和概念化的 大型基因组和宏基因组数据集; 2）人工智能指导的方法来量化模式， 显微图像中的纹理; 3）从 UPHS和校外来源。皮肤生物学和皮肤病研究进展的关键障碍是 缺乏生物统计学、流行病学（定量和定性）和信息学的整合 基础和临床研究的方法。DSI将显著增加SBDRC的整体成功， 解决这一障碍和人类转化研究中对这些方法的具体需求。 从开始到项目完成实施这些方法将提高可重复性，严谨性， 研究结果的有效性。其他SBDRC资源核心和管理核心将能够 利用DSI教职员工的专业知识，提高研究的效率、可重复性和有效性 由SBDRC推动。