Data Science Core

数据科学核心

• 批准号: 10177991
• 负责人: David S. DeGarmo
• 金额: $ 35.99万
• 依托单位: UNIVERSITY OF OREGON
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-15 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10177991
• 关键词: Affect; Big Data Methods; Child Rearing; Collaborations; Communities; Computer software; Data; Data Analyses; Data Collection; Data Science; Data Science Core; Data Security; Data Storage and Retrieval; Development; Educational workshop; Ensure; Experimental Designs; Family; Future; Goals; Impact evaluation; Individual; Infrastructure; Institution; Intervention; Logistics; Machine Learning; Measures; Mentors; Methodology; Methods; National Institute of Drug Abuse; Neurocognitive; Policies; Preparation; Prevention; Prevention Research; Research Design; Research Methodology; Research Personnel; Research Project Grants; Research Training; Resources; Scientist; Services; Statistical Data Interpretation; Structure; Students; Technical Expertise; Training; Training Activity; United States National Institutes of Health; Woman; Work; Writing; adaptive intervention; analytical tool; career; causal model; computerized data processing; computing resources; data analysis pipeline; data cleaning; data harmonization; data management; data pipeline; data quality; data resource; data sharing; data standards; design; flexibility; graduate student; innovation; member; multidisciplinary; neuroimaging; next generation; novel strategies; open data; opioid use; opioid user; synergism; therapy design; tool; trial design; undergraduate student; webinar

7. PROJECT SUMMARY/ABSTRACT The overarching goal of the Data Science Core (DSC) is to advance multidisciplinary, multimethod approaches to research design and methodology, data analysis, and data sharing in order to enhance prevention research, training, and data sharing related to parenting in the context of opioid use on a national scale. The Data Science Core (DSC) will serve as a key resource for the PWO Prevention Center by: (a) supporting the integration and harmonization of data across the three Research Projects, data from the Pilot and Training Core, and data from existing local and national data resources; (b) supporting data sharing with internal and external investigators and the public; (c) providing research design and multivariate data analysis support for incoming data, including novel approaches such as SMART trial designs and machine learning approaches; and (d) supporting data science training for Early Career Scientists. We will build upon prior work within our UO-OHSU collaborative investigative team and draw upon recent data science and data sharing innovations within NIH that our investigators are members of (e.g., NIDA’s ABCD initiative, the Office of the Director’s ECHO consortium) to integrate quantitative, neurocognitive, and intervention methodologies that cross-cut our thematically-integrated Center. To iterate the synergy across the Center, the DSC will also provide support and training to Center investigators and Early Career Scientists, interfacing with the Administrative and Pilot & Training Core aims of seeding the next generation of researchers. Our efforts are grounded in an exceptionally strong infrastructure provided by the Presidential Data Science Initiative at the UO, which includes training activities in data science that will serve students and Center scientists. The DSC will provide services to the Research Projects, Pilots, and external researchers in integrated ways that will create efficiencies in effort and create new opportunities to facilitate improvements in parenting among individuals and families affected by opioid use. Consistent with our data sharing approach and goals, all software and data will be designed to allow for release and use by the broader scientific community.

7.项目总结/摘要 数据科学核心（DSC）的总体目标是推进多学科，多方法 研究设计和方法，数据分析和数据共享的方法，以提高 预防研究，培训和数据共享与阿片类药物使用背景下的养育有关的国家 规模数据科学核心（DSC）将通过以下方式作为PWO预防中心的关键资源： 支持整合和协调三个研究项目的数据，试点项目的数据 （B）支持数据共享， （c）提供研究设计和多变量数据分析 支持传入数据，包括SMART试验设计和机器学习等新方法 方法;（d）支持早期职业科学家的数据科学培训。我们将在先前工作的基础上 在我们的UO-OHSU合作调查团队中，利用最新的数据科学和数据共享 NIH内部的创新，我们的研究人员是成员（例如，NIDA的ABCD倡议， Director's ECHO consortium）整合定量、神经认知和干预方法， 我们的主题综合中心。为了加强整个中心的协同作用，DSC还将 为中心研究人员和早期职业科学家提供支持和培训， 行政和试点与培训核心目标是培养下一代研究人员。我们的努力是 基于总统数据科学计划提供的非常强大的基础设施， UO，其中包括数据科学的培训活动，将为学生和中心科学家服务。的DSC 将以综合方式为研究项目、试点和外部研究人员提供服务， 提高工作效率，创造新的机会，促进改善父母养育子女的方式， 受阿片类药物使用影响的个人和家庭。与我们的数据共享方法和目标一致，所有 软件和数据的设计将允许更广泛的科学界发布和使用。