【摘要】 数据平台需要支持用户应对数据搜索及意义建构方面的挑战。文章构建数据搜索即数据意义建构过程模型，旨在认识数据搜索与意义建构间的关系。为了检验理论模型，文章开展一项数据平台用户实验，并对实验数据进行编码分析。数据分析结果支持理论模型。该模型揭示了构成数据搜索和数据意义建构的阶段以及用户在各阶段的行为、认知和情感特征，据此提出优化数据平台的资源和功能设计以支持数据搜索和数据意义建构高效协同的建议。更多还原

【Abstract】 Data platforms need to support users to cope with the challenges of data search and sensemaking.This paper develops the “Data Search as Data Sensemaking Process” model, aiming to recognize the relationship between data search and sensemaking.To validate the model, an experiment is conducted with users of a data platform, and the data is analyzed by coding techniques.The results of the data analysis support the theoretical model.The model reveals the stages that make up data search and and data sensemaking, as well as the features of behaviors, cognitions, and emotions that occur at each stage.Based on these insights, suggestions are provided for optimizing the resource and functional design of data platforms to facilitate the efficient synergy between data search and data sensemaking.更多还原