Zhou Xia, Wen Liangming, Qiao Ao
The article is based on the composition of government open data stories and the driving factors of their value appreciation. It analyzes the economic process of the value appreciation of government open data stories and the correlation mechanism of data storytelling, constructs a model for the value appreciation of government open data stories, including data resource layer, basic description layer, associated data layer, story presentation layer, and user application layer, and explains its operating mechanism. Furthermore, it proposes strategies for the value appreciation of government open data stories based on correlation data, which adopts delayed security protection strategy, draws on adaptive dynamic link maintenance strategy, integrates multidimensional collaborative supervision strategy, and provides differentiated interactive service strategy.