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Open government data portals: Predictors of site engagement among early users of Health Data NY
Government Information Quarterly ( IF 8.490 ) Pub Date : 2021-07-26 , DOI: 10.1016/j.giq.2021.101614
Grace M. Begany 1 , Erika G. Martin 2 , Xiaojun (Jenny) Yuan 3
Affiliation  

A key premise of open government data (OGD) policies is enhanced engagement between government and the public. However, it is not well understood who the users of OGD are, how to tailor OGD content, and which communities to target for outreach. We examined users' engagement with Health Data NY, New York's health oriented OGD portal, to understand user characteristics associated with increased site engagement. We used Google Analytics data to classify four site engagement metrics into high versus low engagement and used logistic regression to test associations between higher site engagement and gender, age group, device type, and consumer interest. We found that being in a younger age bracket, male, a desktop user, and a Technophile are associated with higher engagement. The findings contribute to further understanding OGD initiatives and consumer health information behavior. More broadly, we demonstrate how OGD managers can leverage their web analytics data to understand which users are most engaged, thereby enabling them to better target their content.



中文翻译:

开放的政府数据门户:纽约 Health Data 早期用户网站参与度的预测因素

开放政府数据 (OGD) 政策的一个关键前提是加强政府与公众之间的参与。然而,目前尚不清楚 OGD 的用户是谁、如何定制 OGD 内容以及针对哪些社区进行外展。我们检查了用户与 Health Data NY(纽约面向健康的 OGD 门户)的互动情况,以了解与网站参与度增加相关的用户特征。我们使用 Google Analytics 数据将四个网站参与度指标分为高参与度和低参与度,并使用逻辑回归来测试更高的网站参与度与性别、年龄组、设备类型和消费者兴趣之间的关联。我们发现年龄较小的男性、桌面用户和技术爱好者与更高的参与度相关。这些发现有助于进一步了解 OGD 计划和消费者健康信息行为。更广泛地说,我们展示了 OGD 经理如何利用他们的网络分析数据来了解哪些用户参与度最高,从而使他们能够更好地定位他们的内容。

更新日期:2021-07-26
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