Government Information Quarterly · 2018 · 363 citations · 33 references
ComputingData SciencePublic PolicyData ManagementData VisualizationInformation VisualizationDashboard DesignData GovernanceDigital TransparencyGovernment Data GovernanceGovernment TransparencySmart City GovernanceDashboardsData TransparencyInstitutional ArrangementsSmart City AccountabilitySmart City ApplicationsSmart City Data GovernanceSmart City TransparencyTransparency Dashboards
Dashboards consolidate data into visual formats that let users observe real‑time conditions and prompt action, and governments use them to support decision‑making, policy development, and public engagement. The study aims to understand and support the design of dashboards that foster transparency and accountability. The authors present design principles and argue that dashboards must be paired with mechanisms for citizen engagement, data interpretation, governance, and institutional arrangements. Case studies of two smart cities show dashboards can enhance transparency and accountability, yet achieving these benefits is difficult due to data quality issues, limited understanding, poor analysis, misinterpretation, and rigid views, which can lead to misconceptions, flawed decisions, reduced transparency, and eroded public trust.
Dashboards visualize a consolidated set data for a certain purpose which enables users to see what is happening and to initiate actions. Dashboards can be used by governments to support their decision-making and policy processes or to communicate and interact with the public. The objective of this paper is to understand and to support the design of dashboards for creating transparency and accountability. Two smart city cases are investigated showing that dashboards can improve transparency and accountability, however, realizing these benefits was cumbersome and encountered various risks and challenges. Challenges include insufficient data quality, lack of understanding of data, poor analysis, wrong interpretation, confusion about the outcomes, and imposing a pre-defined view. These challenges can easily result in misconceptions, wrong decision-making, creating a blurred picture resulting in less transparency and accountability, and ultimately in even less trust in the government. Principles guiding the design of dashboards are presented. Dashboards need to be complemented by mechanisms supporting citizens' engagement, data interpretation, governance and institutional arrangements.
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Big Data : The Management Revolution
アンドリュー マカフィー, エリック ブリニョルフソン, 裕子 有賀 · Harvard business review · 2013 · 3.6K citations
Computing, Information Systems, Management Information Systems +14
The Parable of Google Flu: Traps in Big Data Analysis
David Lazer, Ryan Kennedy, Gary King et al. · Science · 2014 · 2.5K citations · Full text