Abstract: 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.

Key words: Public security and safety data, Government data governance, Collaborative governance, Activity theory, Social network analysis, Food safety