2022
DOI: 10.1017/dap.2021.33
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A participatory approach for empowering community engagement in data governance: The Monash Net Zero Precinct

Abstract: Data governance is an emerging field of study concerned with how a range of actors can successfully manage data assets according to rules of engagement, decision rights, and accountabilities. Urban studies scholarship has continued to demonstrate and criticize lack of community engagement in smart city development and urban data governance projects, including in local sustainability initiatives. However, few move beyond critique to unpack in more detail what community engagement should look like. To overcome t… Show more

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Cited by 14 publications
(5 citation statements)
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References 70 publications
(83 reference statements)
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“…Our theory of change is centered on engaging with the reparative role that relational user agreements could play in minimizing sociotechnical harms and risks in AI. Similar to other benefits of participatory AI (Sharp et al, 2022;Wong et al, 2022), the value TwSw dimensions offer is mutual learning and understanding, which we argue can foster more equitable, creative, and reparative futures. Realizing this role requires forging meaningful community participation, and a commitment from technologists to participatory methodologies.…”
Section: Discussionmentioning
confidence: 69%
“…Our theory of change is centered on engaging with the reparative role that relational user agreements could play in minimizing sociotechnical harms and risks in AI. Similar to other benefits of participatory AI (Sharp et al, 2022;Wong et al, 2022), the value TwSw dimensions offer is mutual learning and understanding, which we argue can foster more equitable, creative, and reparative futures. Realizing this role requires forging meaningful community participation, and a commitment from technologists to participatory methodologies.…”
Section: Discussionmentioning
confidence: 69%
“…[12]. The concepts of data governance are sometimes abstract [6], Omnipresent [31], challenged by the highly dynamic, digitally rich educational ecosystem [21], with implementation processes that follow a non-linear path or formula [32] and [40]. Nevertheless, the fundamental concepts, tools, and techniques of data governance are interdisciplinary [9], interdependent, interrelated, and interconnected with SICT [21], economy, business, leadership, regulatory and compliance issues, privacy and security, and data quality, accessibility, and reliability [32].…”
Section: Literature Reviewmentioning
confidence: 99%
“…DG is a holistic approach to the way data are managed, collected, used, and stored. DG is concerned with the successful management of organizations' big data and metadata assets according to laid down protocols and answerability [40]. According to [12], a shift from informal governance to formal DG is required in all data-driven organizations in order to cope with the following four situations: (a) The organization's activities grows so large that traditional data management processes can no longer address or handle data-related cross-functional activities.…”
Section: Introductionmentioning
confidence: 99%
“…The community must be aware and knowledgeable about clean water management's importance (Slapničar, 2019). With great attention, people are likelier to promote good water management, such as saving water, wise use, and participation in water conservation programs (Rogers et al, 2020;Sharp et al, 2022). Community active participation can also strengthen efforts to manage clean water through better supervision and monitoring practices that can affect the availability of clean water (Albanah et al, 2023).…”
Section: Introductionmentioning
confidence: 99%