节点文献
面向公共开放数据价值共创的可信数据空间构建路径研究
Research on the Construction Path of a Trusted Data Space Oriented to Value Co-creation with Open Public Data
【摘要】 [目的/意义]可信数据空间是一种新兴的数据流通利用基础设施,探索面向公共开放数据价值共创的可信数据空间构建路径,对推动公共数据资源开放开发和流通利用具有重要意义。[方法/过程]在分析可信数据空间赋能公共开放数据价值共创的逻辑基础上,利用社会网络分析法评估价值共创水平并指出空间赋能的挑战,而后引入价值共创DART(dialogue、access、risk、transparency)模型分析可信数据空间的构建思路,据此提出改善价值共创水平的若干空间构建路径。[结果/结论]从理论和实践两方面的逻辑分析来看空间的构建可赋能于价值共创。进一步分析发现,由于主体聚集程度低、依赖个别节点驱动等因素,公共开放数据价值共创水平有待提高。可信数据空间可从对话、获取、风险和透明四方面,通过提供资源集中化的多边对话平台、开发路径联动的多元化获取渠道等路径进行构建,以此来提高公共开放数据价值共创水平。
【Abstract】 [Purpose/Significance] A trusted data space is an emerging infrastructure for the circulation and utilization of data. Exploring the construction path of a trusted data space for the value co-creation of open public data is of great significance for promoting the open development and the circulation and utilization of public data resources. [Method/Process] Based on the logic of the trusted data space empowering the co-creation of open public data value, the social network analysis method was used to evaluate the level of value co-creation and point out the challenges of spatial empowerment. Subsequently, the DART model(Dialogue, Access, Risk, Transparency) for value co-creation was introduced to outline the construction pathways of trusted data spaces, proposing multiple spatial development strategies to enhance co-creation effectiveness. [Result/Conclusion] From the dual logical analysis of theory and practice, space construction can facilitate value co-creation. Due to the low degree of subject aggregation, reliance on individual node driving and other factors, the level of open public data value co-creation needs to be improved. The trusted data space can be constructed from the four aspects of dialogue, access, risk, and transparency by providing a multilateral dialogue platform with centralized resources and diversified access channels with linkage of development paths, accurately enabling the development of open public data value co-creation.
【Key words】 open public data; trusted data space; value co-creation; data elements;
- 【文献出处】 图书情报工作 ,Library and Information Service , 编辑部邮箱 ,2026年11期
- 【分类号】G250.7
- 【下载频次】397