A wide range of public and private organizations, businesses and individuals throughout the world are experimenting with web-based, GIS, virtual and mobile technologies, often in collaboration with each other in order to develop civic technologies. Online communities form the basis for civic platforms, which are incubators for new ideas through peer-to-peer networks, stakeholder mobilization and collaborative and partnership engagement. Digital data analytics offers unprecedented opportunities to build capacity within communities simply because online platforms serve as acquisition hubs of structured and unstructured data. Notwithstanding, technology powered forms of engagement face multiple design and management challenges. Currently, limited research is being conducted into the online community using digital data analytics in non-business contexts. This explorative study further develops existing knowledge on civic tech communities and the use of digital data analytics. To this end, we review the previous research in order to understand how to aggregate literature on online communities, civic technologies and data analytics into a conceptual model that is useable by both academics and practitioners. The framework proposed serves as the first step in differentiating the building blocks of relevant digital data in managing civic technology communities and should be regarded as an effort to structure the available sources. Thus, the focus of the proposed conceptual model is not to offer prescriptive guidelines on the use of digital analytics, but rather to present a broader understanding of the emerging phenomenon and dimensions of data analysis.

全世界许多公共和私人组织，企业和个人都在试验基于Web的GIS，虚拟和移动技术，并且常常相互协作以开发公民技术。在线社区构成了公民平台的基础，公民平台是通过点对点网络，利益相关者动员以及协作与伙伴关系参与的新思想的孵化器。数字数据分析提供了前所未有的机会来建立社区内部的能力，这仅仅是因为在线平台充当了结构化和非结构化数据的获取中心。尽管如此，以技术为动力的互动形式仍面临着多个设计和管理挑战。目前，在非商业环境中使用数字数据分析对在线社区进行了有限的研究。这项探索性研究进一步发展了有关公民技术社区和数字数据分析使用的现有知识。为此，我们回顾了以前的研究，以了解如何将有关在线社区，公民技术和数据分析的文献汇总到一个概念模型中，该模型可供学者和从业者使用。提议的框架是在管理公民技术社区时区分相关数字数据构建块的第一步，应被视为构建可用资源的一种努力。因此，提出的概念模型的重点不是提供有关使用数字分析的说明性准则，