Data Science Core - Center for the Study of Symptom Science, Metabolomics and Multiple Chronic Conditions

摘要 症状科学、代谢组学和多重代谢研究中心的数据科学核心 慢性病将支持护士科学家研究者的数据科学需求， 提高当前和未来护士科学家的数据科学技能。核心支持以下目标： 该中心通过与飞行员和其他护士科学家研究人员合作， 为他们的项目制定研究计划。特别是，核心将在研究设计方面进行合作， 执行以及数据收集、管理、分析和传播。核心 提供代谢组学和微生物组数据分析方面的专业知识，特别是与以下方面相关的知识： 提出了试点研究的目标。此外，核心小组将与试点调查人员合作， 准备手稿和演示文稿，提供翻译和可视化的援助 结果关于数据管理，核心小组将与试点项目调查人员合作， 在Emory的REDCap和LabKey系统中开发项目，用于管理临床， 问卷调查和生物数据。特别是，Core支持 建议用于症状评估的工具（例如，PROMIS焦虑量表）。此外，核心将 为每项研究提供通用数据元素。核心将实施质量控制， 数据收集和管理的质量保证程序。数据将安全地存储在 为了保护隐私和保密。核心已经实现了可复制的工作流程， 使用R，R Markdown，Git和GitHub进行代谢组学和微生物组学分析，这也确保了 版本控制。Core还将支持资源共享，将数据上传到Emory Dataverse 以及创建NCBI生物项目。

ABSTRACT The Data Science Core of the Center for the Study of Symptom Science, Metabolomics, and Multiple Chronic Conditions will support the data science needs of the nurse scientist investigators and will enhance the data science skills of current and future nurse scientists. The Core supports the aims of the Center by working with the pilot and other nurse scientist investigators as they develop the research plans for their projects. In particular the core will collaborate on study design and implementation, as well as data collection, management, analysis, and dissemination. The Core provides expertise in the analysis of metabolomics and microbiome data, of particular relevance to the aims of the pilot studies proposed. In addition the core will work with the pilot investigators as they prepare manuscripts and presentation, providing assistance with interpretation and visualization of results. With respect to data management, the Core will work with the pilot project investigators to develop projects within Emory’s REDCap and LabKey systems for managing the clinical, questionnaire, and biological data. In particular, the Core supports standard templates for the instruments proposed for symptom assessment (e.g., PROMIS Anxiety scale). Moreover the Core will implement common data elements for each study. The Core will implement Quality Control and Quality Assurance procedures for data collection and management. Data will be stored securely in order to preserve privacy and confidentiality. The Core has implemented reproducible workflows for metabolomic and microbiome analyses using R, R Markdown, Git, and GitHub, which also assures version control. The Core will also support resource sharing, uploading data to the Emory Dataverse as well as creation of an NCBI BioProject.