Data Sciences and Informatics

项目总结 核心C是数据科学和信息学(DSI)的核心，其主要关注点是促进人类发现 通过在皮肤生物学和疾病方面的基础和翻译研究提供援助 研究人员对皮肤研究的规划、设计和分析(包括统计和信息学)。这个 DSI直接与其他资源核心和SBDRC的总体主题进行互动 人类翻译研究需要良好的设计、正确的操作和正确的分析 以保持高标准的严谨性和可重复性。DSI通过组合以下各项来实现这些目标 流行病学、统计学和信息学方法。就其本质而言，DSI将继续高度 协作性，并将增加其他核心的价值。DSI核心董事将鼓励有兴趣的调查人员 在设计和分析的每个阶段与核心教职员工合作进行皮肤研究，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。DSI的 职能体现为两个目标，这两个目标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 将性别视为生物变量；3)对研究数据进行解释，以科学和 统计上适当的陈述；4)将BASE调查结果翻译成人类研究，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学服务 SBDRC核心用户，包括：1)生物信息学方法，允许分析和概念化 大型基因组和元基因组数据集；2)人工智能指导的模式量化方法和 显微图像中的纹理；3)医学信息学方法从 UPHS和校外资料来源。皮肤生物学和皮肤病研究取得进展的一个关键障碍是 缺乏生物统计学、流行病学(定量和定性)和信息学的整合 基础和临床研究方法。DSI将通过以下方式显著促进SBDRC的总体成功 解决这一障碍以及在人类翻译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种方法将提高可重复性、严谨性、 和研究结果的有效性。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来提高研究的效率、重复性和有效性 由SBDRC推动。

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.