：在机构知识库数据建设过程中，开发设计具备更高自动化的期刊数据规范管理功能，提高元数据质量，可以为数据的进一步关联分析、聚类统计、决策审计等能力提供数据保障。文章通过分析期刊数据规范的特征项及辅助因子，采用自动化实现的技术路线，实现对期刊数据规范的功能，并在数据的统计分析中测试修正。该期刊数据规范管理功能具备较高的自动化程度，提高了工作效率，减轻了人力成本，并可高质量完成对相应数据的规范。针对期刊数据规范的自动化技术路线和功能实践，是一种切实可行、更加高效的实现路径，可在高质量规范数据的保障下提供更优质的机构知识库服务。

In the process of data construction of Institutional Repository, the development and design of periodical data standard management function with higher automation can improve the quality of metadata, and provide data rantee for the ability of further correlation analysis, clustering statistics, decision auditing and so on. The characteristic items and auxiliary factors of periodical data specification were analyzed, the technical route of automatic realization was adopted to realize the function of periodical data specification, and the correction was tested in the statistical analysis of the data. The data specification management function has a high degree of automation, and it can improve work efficiency and reduce labor costs, and it can also complete the corresponding data specification with high quality. The unstandardized journal data may not be easily discovered on the display layer, so the manual specification is highly required. Aiming at the automatic technical route and functional practice of periodical data specification, it is a feasible and more efficient implementation path, which can provide better Institutional Repository service under the guarantee of high quality normative data.