【目的/意义】 以数字人文研究中日益凸显的可复现性问题为背景，系统分析数据复杂性、方法异质性与成果多模态化对研究可验证性带来的挑战，探讨学术期刊在制度规范与技术治理中的关键作用。 【方法/过程】 从数据、方法与成果3个层面梳理可复现性困境，在此基础上引入“守界—破界—守破平衡”的分析框架，结合数据出版、平台化协作、智能化赋能与人机协同机制，构建期刊推动可复现性的现实路径。 【结果/结论】 期刊应通过标准化数据采集与元数据规范、集中化平台管理、智能化质量控制和人机协同审稿机制，实现对研究全过程的透明化与可追溯管理。结论认为，学术期刊需在守护学术规范与推动出版创新之间实现动态平衡，逐步形成“数据—方法—出版”一体化生态，以提升数字人文研究的可信度、复现性与学术影响力，为构建开放、透明、可持续的学术出版体系提供制度支撑。

[Purpose/Significance] Against the background of the increasingly prominent reproducibility issues in digital humanities research, this paper systematically analyzes the challenges posed by data complexity, methodological heterogeneity, and the multimodal nature of research outputs to research verifiability, and explores the critical role of academic journals in institutional regulation and technical governance. [Method/Process] From the three dimensions of data, methods, and research outputs, the paper examined the dilemmas of reproducibility and, on this basis, introduced an analytical framework of “boundary-keeping, boundary-breaking, and their dynamic balance”. By integrating data publishing, platform-based collaboration, intelligent empowerment, and human-machine collaboration mechanisms, it constructed practical pathways through which journals can enhance reproducibility. [Result/Conclusion] It is argued that journals should achieve transparent and traceable management of the entire research process through standardized data collection and metadata specifications, centralized platform management, intelligent quality control, and human–machine collaborative peer review. The study concludes that academic journals need to maintain a dynamic balance between safeguarding academic norms and promoting publishing innovation, gradually forming an integrated “data–methods–publishing” ecosystem, so as to enhance the credibility, reproducibility, and academic impact of digital humanities research, and to provide institutional support for building an open, transparent, and sustainable scholarly publishing system.