The new publication Digital & data-driven transformations in governance: a landscape review tackles a fundamental issue in research on digital & data-driven transformations in governance: the absence of a formal conceptualization of the matter. This article is published by Data for Policy, a global community that focus on policy–data interactions by exploring how data can be used for policy in an ethical, responsible, and efficient manner. The journal consists of six focus areas, of which Digital & Data-driven Transformations in Governance is one.
Abstract
This review addresses the absence of a formal conceptualization of digital and data-driven transformations in governance within this focus area. The paper achieves this by providing a working definition, mapping current research trends, and proposing a future research agenda centered on three core transformations: (1) public participation and collective intelligence; (2) relationships and organizations; and (3) open data and government. The paper outlines research questions and connects these transformations to related areas such as artificial intelligence (AI), sustainable smart cities, digital divide, data governance, co-production, and service quality. This contribution forms the foundational development of a research agenda for academics and practitioners engaged in or impacted by digital and data-driven transformations in policy and governance.
Giest, S., McBride, K., Nikiforova, A., & Sikder, S. K. (2025). Digital & data-driven transformations in governance: a landscape review. Data & Policy, 7. https://doi.org/10.1017/dap.2024.47
