推进政府数据跨部门共享有利于促进政府科学决策与行政服务革新。文章基于数据粘性理论模型，从数据共享意愿、数据共享能力、数据可表达性、数据残留、数据吸收能力五个方面探讨政府数据跨部门共享中数据粘性的影响因素及其相互关系。通过对我国中部某县级市政府工作人员展开问卷调查，采用结构方程模型法进行假设检验，发现数据共享意愿可以通过直接影响数据共享能力、数据可表达性、数据残留、数据吸收能力从而间接影响数据粘性；数据共享能力、数据可表达性、数据残留、数据吸收能力都可以直接影响数据粘性；数据共享能力直接正向影响数据吸收能力，数据可表达性直接负向影响数据残留。因此，可通过加强部门组织领导、优化平台建设统筹、提高员工数据素养、推进数据目录完善，推动我国政府数据跨部门共享。

Promoting interagency government data sharing (IDS) could promote government scientific decision-making and the innovation of administrative service. Based on Data Stickiness Theory, this study explores influencing factors of data stickiness and their interrelationships from aspects of data sharing willingness, data sharing ability, data articulate ability, data residence, and data absorptive capacity in the process of IDS. This study conducts a questionnaire targeted at government employees working in the government of a county-level city in Central China. The structural Equation Model Method is used to test research hypotheses. The analysis shows that data sharing willingness can indirectly affect data stickiness by directly affecting data sharing ability, data articulate ability, data residence, and data absorptive ability. Data sharing ability, data articulate ability, data residence, and data absorptive ability can all directly affect data stickiness. Data sharing ability can directly affect data absorptive capacity positively. Data articulate ability can directly affect data residence negatively. Based on research results, this study puts forward that governments should strengthen organization and leadership, optimize and coordinate platform construction, improve employees’ data literacy and improve data catalogues to promote IDS in China.