公共安全数据协同治理的逻辑框架与网络形式--以兰州市食品安全领域为例

The Logical Framework and Network Type of Public Security and Safety Data Collaborative Governance:A Case of Food Safety in Lanzhou

公共安全数据迈向协同治理是实现大数据驱动公共安全治理的重要内容和应有之义。在基于活动理论分析公共安全数据协同治理的关键要素与协同框架的基础上,以兰州市食品安全数据协同治理实践为例,应用社会网络分析方法对其网络形式和结构特征进行量化分析。结果表明,兰州市食品安全数据协同治理整体网络中有限的主体占据网络核心位置,处于控制数据资源的核心地位;不同层级类型主体参与数据治理活动的角色和影响力不同,基层机构和社会公众参与程度与影响力比较薄弱;基于互惠性的双向数据活动和流动过程中更容易形成派系和体现情境事件驱动的协同模式。论文据此提出了提升我国公共安全数据协同治理效能的启示。

Public security and safety data collaborative governance is necessary to realizing the public security and safety governance driven by big data.According to the Activity Theory,this paper analyzes the element and collaborative framework of public security and safety data collaborative governance.Then using the example of food safety data governance in Lanzhou,the Social Network Analysis is conducted to explore its network type and structural features quantitatively.The results have shown that there are limited data subjects who occupy the core position and control data resources in the holistic network of food safety data collaborative governance in Lanzhou.Besides,the subjects of different levels and types have various roles and influences in participating in data governance activities.Organizations at the grassroots level and the public are relatively weak in their participation and influence especially.At last,bidirectional data activities and flows based on reciprocity are conducive to forming factions and synergies driven by context events.Based on these findings,this paper puts forward the enlightenment to improve the effectiveness of public security and safety data collaborative governance in China.