[Purpose/significance] Exploring multimodal evidence reorganisation and association patterns from a re⁃source management perspective facilitates the formation of an evidence-based logic loop of "evidence fragments—evi⁃dence chains—factual verification", driving the transformation of information services toward data-driven evidencebase dapproaches. [Method/process] First, following the digital humanities research process, this study proposes an evidence-based framework for Hanfu digital resources based on knowledge graphs. Second, this study ensures the reli⁃ability of the evidence-based process and the verifiability of results through four aspects: evidence extraction, evidence association, cross-modal evidence fusion, and multi-source mutual verification of conclusions. Finally, using Song Dy⁃nasty women's clothing resources as an example, this study conducts evidence chain construction and scenario applica⁃tions to validate the scientific validity and feasibility of the proposed evidence-based framework. [Result/conclusion]By systematically analysing the eight evidence categories, five evidence levels, and seven evidence association patterns in the evidence-based context of Hanfu literature, it can achieve a pathway integrating "data preparation—evidence or⁃ganisation—conclusion verification", thereby validating the scientific validity of the evidence-based framework for Hanfu digital resources mentioned in this paper. This provides methodological support for evidence-based research on cultural heritage resources, with Hanfu evidence-based research as a representative example.