情报科学 ›› 2024, Vol. 42 ›› Issue (6): 144-153.

• 业务研究 • 上一篇    下一篇

政府数据开放平台用户参与度测评指标体系构建及其实证研究

  

  • 出版日期:2023-06-01 发布日期:2024-07-31

  • Online:2023-06-01 Published:2024-07-31

摘要: 【 目的/意义】 从用户参与视角对政府数据开放平台的用户参与度现状进行测评研究,为推进我国政府数 据开放平台建设实践、提升用户参与率、推动政府数据价值实现提供参考借鉴。【方法/过程】 根据用户参与情境和 行为特征维度,结合Delphi法和AHP法构建政府数据开放平台用户参与度测评指标体系,确定指标权重,并选取我 国具有代表性的14个省域平台、19个城市平台进行实证测评研究。【结果/结论】 当前我国政府数据开放平台的用 户参与度整体水平不高,参与层次较低,用户参与程度的地域性差异较大,而且参与水平与地区经济发展状况关系 密切,此外,平台建设的功能完善程度也会影响用户参与的水平与质量。基于此,从加强平台建设规范、提升用户 参与素养,完善平台功能、提升用户黏性,强化平台维护、提高数据质量等方面提出优化建议。【创新/局限】本研究 从用户参与度测评的视角出发,构建了政府数据开放平台用户参与度测评指标体系,并对用户的实际参与度现状 进行了实证测评,但测评指标体系还需要进一步在实践中进行完善。

Abstract: 【Purpose/significance】 In order to promote the construction of open government data platform, improve user engagement level, and promote the value realization of open government data, this paper evaluates the current situation of user engagement on open government data platform. 【Method/process】 Based on different dimensions and contexts of user engagement, combined with Delphi and AHP methods, the evaluation index system and index weight of user engagement on open government data platform is constructed, and 14 representative provincial platforms and 19 urban platforms in China are selected for empirical study.【 Result/conclusion】 The study has found that the overall level of user engagement on Chinese open government data platform is not high, and the regional differ⁃ ence of user engagement is large. Moreover, the level of engagement is closely related to regional economic development, and the func⁃ tion of platform will also affect the level and quality of user engagement. Based on this, optimization suggestions are proposed from strengthening platform construction standards, improving user engagement literacy, improving platform functions, enhancing user stickiness, strengthening platform maintenance, and improving data quality. 【Innovation/limitation】 This study constructs an evalua⁃ tion index system of user engagement on open government data platform from the perspective of measuring user engagement level, and then conducts an empirical evaluation of the actual level of user engagement. However, the evaluation index system still needs to be further improved in practice.