@Article{信息:doi 10.2196 / / jmir。3444，作者="Borromeo, Charles D and Schleyer, Titus K and Becich, Michael J and Hochheiser, Harry"，标题="寻找合作者:面向研究网络系统的交互式发现工具"，期刊="J Med Internet Res"，年="2014"，月="11"，日="04"，卷="16"，号="11"，页数="e244"，关键词="转化医学研究;合作行为;interprofessional关系;跨学科研究;信息系统;背景:研究网络系统在帮助生物医学科学家识别具有建立跨学科团队所需专业知识的合作者方面前景广阔。尽管迄今为止的工作主要集中在收集和聚合信息上，但很少关注最终用户使用这些集合来识别合作者的工具的设计。为了有效，合作者搜索工具必须为研究人员提供与他们的协作需求相关的信息的便捷访问。目的:目的是研究用户对研究网络系统合作者搜索工具的需求和偏好，并设计和评估一个功能原型。 Methods: Paper prototypes exploring possible interface designs were presented to 18 participants in semistructured interviews aimed at eliciting collaborator search needs. Interview data were coded and analyzed to identify recurrent themes and related software requirements. Analysis results and elements from paper prototypes were used to design a Web-based prototype using the D3 JavaScript library and VIVO data. Preliminary usability studies asked 20 participants to use the tool and to provide feedback through semistructured interviews and completion of the System Usability Scale (SUS). Results: Initial interviews identified consensus regarding several novel requirements for collaborator search tools, including chronological display of publication and research funding information, the need for conjunctive keyword searches, and tools for tracking candidate collaborators. Participant responses were positive (SUS score: mean 76.4{\%}, SD 13.9). Opportunities for improving the interface design were identified. Conclusions: Interactive, timeline-based displays that support comparison of researcher productivity in funding and publication have the potential to effectively support searching for collaborators. Further refinement and longitudinal studies may be needed to better understand the implications of collaborator search tools for researcher workflows. ", issn="1438-8871", doi="10.2196/jmir.3444", url="//www.mybigtv.com/2014/11/e244/", url="https://doi.org/10.2196/jmir.3444", url="http://www.ncbi.nlm.nih.gov/pubmed/25370463" }