Open data for accountability at times of exception: an exploratory analysis during the COVID-19 pandemic

IF 2.4 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Transforming Government- People Process and Policy Pub Date : 2021-12-09 DOI:10.1108/tg-06-2021-0093
G. Maione, D. Sorrentino, A. Kruja
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引用次数: 6

Abstract

Purpose At exceptional times, governments are entrusted with greater authority. This creates significant concerns over governments’ transparency and accountability. This paper aims to pursue a twofold objective: assessing the patterns of open government data during the extraordinary time initiated by the COVID-19 pandemic drawing relevant policy and managerial implications regarding the future development of open data as a mechanism of accountability at times of exception. Design/methodology/approach The study follows exploratory research, relying on a web content analysis. The empirical setting is provided by 20 Italian regional governments during the COVID-19 pandemic as a shock that has triggered an exceptional time for governments. Findings Results on the desirable (extrinsic and intrinsic) characteristics of the data analyzed show that in the empirical setting investigated, open data does not enable to properly address the accountability concerns of a demanding forum at times of exception. Research limitations/implications The paper enriches the state of the art on accountability and provides both scholars and practitioners (e.g. policymakers, managers, etc.) a current reading of data-driven orientation as a stimulus to the accountability of public administrations during exceptional times. Originality/value The paper investigates open data as a condition of public accountability, assessing whether and how Italian regional governments have concretely opened their data to enable their forums to elaboration of an informed opinion about their conduct during the ongoing pandemic. This fosters the understanding of how accountability is deployed in times of exception in light of the possibilities offered by the availability of online platforms.
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例外情况下问责制的开放数据:新冠肺炎大流行期间的探索性分析
在特殊时期,政府被赋予更大的权力。这引发了人们对政府透明度和问责制的严重担忧。本文旨在实现两个目标:在COVID-19大流行引发的特殊时期评估开放政府数据的模式,并就开放数据作为例外时期问责机制的未来发展提出相关政策和管理建议。设计/方法/方法本研究遵循探索性研究,依赖于网页内容分析。这一经验背景是由意大利20个地区政府在2019冠状病毒病大流行期间提供的,作为一种冲击,它引发了政府的特殊时期。分析数据的理想(外在和内在)特征的结果表明,在调查的实证设置中,开放数据不能在例外情况下适当地解决要求苛刻的论坛的问责问题。本文丰富了问责制的最新研究成果,并为学者和实践者(如政策制定者、管理者等)提供了当前对数据驱动取向的解读,将其作为特殊时期公共行政问责制的刺激因素。原创性/价值本文调查了作为公共问责制条件的开放数据,评估了意大利地方政府是否以及如何具体开放其数据,使其论坛能够就其在当前大流行期间的行为提出知情意见。这有助于理解如何在例外情况下根据在线平台的可用性提供的可能性部署问责制。
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来源期刊
Transforming Government- People Process and Policy
Transforming Government- People Process and Policy INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
6.70
自引率
11.50%
发文量
44
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