Background Advances in the health sciences rely on sharing research and data through publication. As information professionals are often asked to contribute their knowledge to assist clinicians and researchers in selecting journals for publication, the authors recognized an opportunity to build a decision support tool, SPI-Hub: Scholarly Publishing Information Hub™, to capture the team’s collective publishing industry knowledge, while carefully retaining the quality of service. Case Presentation SPI-Hub’s decision support functionality relies on a data framework that describes journal publication policies and practices through a newly designed metadata structure, the Knowledge Management Journal Record™. Metadata fields are populated through a semi-automated process that uses custom programming to access content from multiple sources. Each record includes 25 metadata fields representing best publishing practices. Currently, the database includes more than 24,000 health sciences journal records. To correctly capture the resources needed for both completion and future maintenance of the project, the team conducted an internal study to assess time requirements for completing records through different stages of automation. Conclusions The journal decision support tool, SPI-Hub, provides an opportunity to assess publication practices by compiling data from a variety of sources in a single location. Automated and semi-automated approaches have effectively reduced the time needed for data collection. Through a comprehensive knowledge management framework and the incorporation of multiple quality points specific to each journal, SPI-Hub provides prospective users with both recommendations for publication and holistic assessment of the trustworthiness of journals in which to publish research and acquire trusted knowledge.

中文翻译：

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SPI-Hub™：学术出版信息的门户

背景 健康科学的进步依赖于通过出版物共享研究和数据。由于信息专业人员经常被要求贡献他们的知识来帮助临床医生和研究人员选择出版期刊，因此作者认识到有机会建立一个决策支持工具 SPI-Hub：学术出版信息中心™，以捕捉团队的集体出版业知识，同时小心保留服务质量。案例展示 SPI-Hub 的决策支持功能依赖于一个数据框架，该框架通过新设计的元数据结构知识管理期刊记录™ 来描述期刊出版政策和实践。元数据字段是通过一个半自动化的过程填充的，该过程使用自定义编程来访问来自多个来源的内容。每条记录都包含 25 个代表最佳发布实践的元数据字段。目前，该数据库包含超过 24,000 条健康科学期刊记录。为了正确获取项目完成和未来维护所需的资源，该团队进行了一项内部研究，以评估通过不同自动化阶段完成记录的时间要求。结论 期刊决策支持工具 SPI-Hub 提供了一个机会，通过在一个位置编译来自各种来源的数据来评估出版实践。自动化和半自动化方法有效地减少了数据收集所需的时间。通过全面的知识管理框架并结合每个期刊特有的多个质量点，