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中文摘要
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软件开发和计算支持核心(SDCSC)是五个中心研究项目共享的资源。SDCSC工作人员将协助中心研究人员寻求实施、测试、应用、记录和传播他们的方法,以最大限度地造福药物滥用预防和治疗研究人员。这个项目有五个具体目标。首先,SDCSC将与中心研究人员合作,开发高质量的软件,实现研究项目下开发的创新方法。该中心的专业编程技术大大提高了软件开发过程的效率。其次,SDCSC将记录和维护从公共领域和通过私人数据共享协议获得的数据集的现场副本,确保我们的研究人员遵守这些协议的所有要求,以及当地机构审查委员会要求的数据安全政策和实践。第三,SCDSC将创建并维护一个公共网站,为希望了解和使用我们中心开发的创新方法的研究人员提供一个高度可见的资源。第四,SDCSC工作人员将为中心研究人员和行政人员使用的计算机网络、硬件、软件和其他技术工具的安装和维护提供技术支持,并将在计算机相关的战略规划方面向中心主任提供建议。第五,SDCSC将购买宾夕法尼亚州立大学超级计算集群上的节点,并帮助中心研究人员在这些集群上运行模拟和其他计算密集型应用程序。
英文摘要
The Software Development and Computing Support Core (SDCSC) is a resource shared among the five Center research projects. SDCSC staff will assist Center researchers as they seek to implement, test, apply, document, and disseminate their methods for maximal benefit to drug abuse prevention and treatment researchers. This project has five Specific Aims. First, the SDCSC will collaborate with Center researchers to create high-quality software that implements innovative methodologies developed under the research projects. This professional programming expertise within the Center greatly increases the efficiency of the software development process. Second, the SDCSC will document and maintain on-site copies of datasets obtained from the public domain and through private data-sharing agreements, ensuring that our researchers comply with all requirements of these agreements, data security policies and practices required by the local Institutional Review Board. Third, the SCDSC will create and maintain a public website that becomes a highly visible resource for researchers who wish to learn about and use the innovative methodologies developed at our Center. Fourth, the SDCSC staff will provide technical support to install and maintain computer networks, hardware, and software and other technological tools used by Center researchers and administrative staff, and will advise the Center Director in computer-related strategic planning. Fifth, the SDCSC will purchase nodes on Penn State supercomputing clusters and help Center researchers to run simulations and other computationally intensive applications on these clusters.
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SOFTWARE DEVELOPMENT AND COMPUTING SUPPORT CORE
IMPROVING METHODS FOR MISSING DATA, CAUSAL INFERENCE & LATENT-TRANSITION ANALYSIS
IMPROVING METHODS FOR MISSING DATA & CAUSAL INFERENCE
SOFTWARE DEVELOPMENT AND COMPUTING SUPPORT CORE
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