Core--Research Facilitation

研究促进核心（RFC）提供了利用宾夕法尼亚大学在生物和社会行为科学方面的大量跨学科研究能力的结构，并指导他们制定护理成果研究计划。研究促进核心的目标是通过协助CNOR成员在他们正在进行的和未来的研究中使用科学统计方法和生物标志物来推进护理成果研究，并提供大量的大型数据集仓库，这将在CNOR成员和整个大学的研究团队之间创造新的合作研究机会。RFC是一个服务核心，为复杂的研究设计和方法提供咨询，并维护CNOR成员进行的研究的数据集和其他研究产品结果的存储库，并促进CNOR成员在未来研究中使用它们。RFC的具体目标是为CNOR成员提供以下具体服务：（1）提供先进社会科学研究方法的应用咨询，包括但不限于多层次建模和统计方法;事件历史分析;调查构建，抽样技术和复杂调查结构分析方法;以及数据汇总技术;（2）在建立生物行为模型时，在CNOR成员和标记之间建立联系;（3）促进CNOR成员在研究中使用大型公共数据集;（4）促进在PNN实践中对基于研究的干预措施进行测试和评估，以及（5）创建并维护由研究者生成并存储在CNOR数据档案中的相关数据集库，并为成员使用这些数据集提供支持。

The Research Facilitation Core (RFC) provides the structure for harnessing Penn's substantial interdisciplinary research capacities in the biological and socio-behavioral sciences and directing them towards the development of a planned program in nursing outcomes research. The goal of the Research Facilitation Core is to advance nursing outcomes research by assisting CNOR members in their use of state-of-the-science statistical methods and biologic markers in their ongoing and future studies, and to make available a substantial warehouse of large data sets that would create new collaborative research opportunities among CNOR members and with research teams across the University. The RFC is a service core, providing consultation on sophisticated research designs and methods and maintaining a repository for data sets and other research products results from studies conducted by CNOR members and facilitating their use in future research by CNOR members. The specific aims of the RFC entail the provision of the following specific services to CNOR members: (1) Provide consultation on the application of sophisticated social science research methods, including but not limited to multi-level modeling and statistical methods; events history analysis; survey construction, sampling techniques and complex survey structure analytic methods; and data aggregation techniques; (2) Establish linkages between CNOR members and the markers in building bio-behavioral models; (3) Facilitate use of large public use data sets in studies by CNOR members; (4) Facilitate testing and evaluation of research based interventions within the PNN practices, and (5) Create and maintain a library of relevant data sets generated by investigators and stored in the CNOR data archive and provide support to members in their use.