民族学刊

数智时代中华民族共同体史料体系建设，是围绕铸牢中华民族共同体意识主线，拓展中华民族共同体史料的基础性工程，推动了中华民族共同体史料由材料汇编迈向数据驱动的新阶段。以2014年为关键节点，体系建设呈现鲜明阶段性特征，此前，民族识别、考古发掘、档案史志整理及影像口述史料积累，形成多类型史料存量与成熟规范，但存在整合不足、跨族互动材料梳理欠缺、中华民族共同体视角薄弱等局限；此后，体系进入提速升级阶段，重大文化工程推动各民族交往交流交融史料规模化整理，线上资源平台快速扩张提升史料可达性与共享性，OCR、知识图谱等智能技术推动多模态史料从可保存走向可计算。同时，体系建设仍面临四类核心矛盾：“散”与“统”的整合壁垒、“分”与“融”的叙事隔阂、“表”与“里”的技术断链、“建”与“用”的转化迟滞。面向未来，需沿四大路径创新：以知识组织化重构关联网络与认知框架，以数据平台化整合碎片资源形成协同生态，以多维数字化支撑结构化整理与互证，以价值活态化实现当代转化与价值激活，推动史料体系由静态资源库升级为可持续演化的知识基础设施。

The construction of a historical materials system for the Chinese national community in the digital intelligent era has promoted a shift in historical studies of the Chinese national community from archival compilation to data-driven inquiry.The year 2014 serves as a pivotal point for this analysis,which employs web-based investigation and project data extraction to systematically examine and document initiatives undertaken by the National Social Science Fund,the National Ethnic Affairs Commission,provincial and local governments,and Minzu colleges and universities.By analyzing construction content,data scale,material typology,and organizational logic,this study identifies both staged progress and core bottlenecks.Before 2014,efforts in ethnic identification,social-historical surveys,archaeological excavations,and the compilation of archival and audiovisual records facilitated the gradual establishment of a multi-type repository of historical sources alongside relatively mature standards for investigation and compilation.These efforts provided institutional and methodological foundations for systematic construction.However,limitations persisted:Insufficient integration across sources,inadequate systematic compilation of materials on inter-ethnic interactions,and a lack of coherent overarching narratives from a community perspective.Since 2014,the historical source system has entered a phase of accelerated upgrading.Major cultural projects have propelled large-scale compilation of materials on ethnic communication,interactions,and integration,and driven an integration of historical research with theoretical analysis while facilitating transformative exhibition practices.Rapid expansion of online resource platforms has significantly enhanced the accessibility and shareability of historical sources.The incorporation of advanced technologies has transitioned multimodal historical sources from mere preservation to computational analysis and enabling cross-media corroboration and relational analysis.Nevertheless,the construction of the historical sources system continues to encounter four categories of contradictions.Firstly,there exists a tension between "fragmentation." and "integration" :Administrati ve divisions and multi-stakeholder ownership have caused resource fragmentation,compounded by inconsistent technical standards resulting in platform silos.Secondly,there is a narrative gap between "separation " and "fusion." Ethnicity-based material selection combined with localized perspectives tends to obscure historical facts of integration,complicating the support of community narratives spanning long time periods and vast spatial scales.Thirdly,a technological disconnect exists between "surface" and "depth." Data structures and algorithmic frameworks predominantly operate at the collection and storage level,struggling to capture the deep semantic relationships among institutions,events,and spaces,thereby limiting the capacity for integrating evidence chains.Fourthly,there is a lag in transformation between "construction" and "application." Platforms tend to emphasize retrieval and storage,while lacking analytical tools for interpretation and cross-disciplinary collaboration mechanisms,which prevents digital resources from effectively entering academic argumentation and theoretical innovation.Looking ahead,this article suggests that advancement should occur across four dimensions:Knowledge systematization,data platformization,multidimensional digitization,and value activation.Knowledge systematization involves using semantic parsing and knowledge graphs to reconstruct relational networks and cognitive frameworks.Data platformization entails integrating fragmented resources through distributed platforms and data governance strategies to form collaborative ecosystems.Multidimensional digitization requires multimodal fusion and standardization to support structured compilation and cross-verification.Finally,value activation aims to contemporize and realize value through immersive dissemination and digital service ecosystems.Through these approaches,the historical source system can evolve from a static repository of resources to a sustainable and evolving knowledge infrastructure.