Understanding the dynamic mechanism of interagency government data sharing

Fang, Wang

doi:10.1016/j.giq.2018.08.003

Cited by 27 publications

(15 citation statements)

References 23 publications

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“…In general, interoperability of datasets was identified as a persistent problem by respondents across all local service sectors (53% of survey respondents). There are a variety of common challenges and issues which recur in projects that require integrated data [17,18,24,46,50,51]. One of the key concerns is establishing access to data.…”

Section: Artificial Intelligence In the Ukmentioning

confidence: 99%

Algorithmic Bureaucracy: Managing Competence, Complexity, and Problem Solving in the Age of Artificial Intelligence

et al. 2019

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In recent years, local government is undergoing changes which are strongly influenced by the growing digitization of governmental operations. Key features of Digital Era Governance (DEG) appear to be displacing features of the New Public Management (NPM) and are also challenging some underlying aspects of Weberian bureaucracy in public administration. In this paper, we expand on the concepts in DEG and its successor, Essentially Digital Government (EDGE), by introducing the concept of Algorithmic Bureaucracy, which looks at the impacts of Artificial Intelligence (AI) on rationalization and the socio-technical nature of public administration. We report on a mixed-method study, which focused on how the growth of data science is changing the ways that local government works in the UK. Special emphasis is put on how algorithms can build citizen and administrator competence and deal with complexity. Algorithmic bureaucracy, like traditional bureaucracy, is impartial in its application, but can be predictably sensitive to context. Society needs to determine the ends to which it is put and how to assign accountability in this context. We find that algorithmic bureaucracy is in its infancy in local government, so there is space to develop an appropriate ethical framework to harness the technology and enhance social problem solving.

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Section: Artificial Intelligence In the Ukmentioning

confidence: 99%

Algorithmic Bureaucracy: Managing Competence, Complexity, and Problem Solving in the Age of Artificial Intelligence

et al. 2019

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“…Interagency data sharing (IDS) enables the transfer of data between multiple government agencies and is essential for coordination and collaboration between government agencies, the promotion of evidence-based policymaking, as well as the development of a citizen-centric government (e.g. Dawes, 1996;Kwon et al, 2009;Bigdeli et al, 2013;Wang, 2018;Zhou et al, 2020). IDS is the "bedrock" for achieving a digitized, smart government (Gil-Garcia and Sayogo, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, governments are often criticized for denying data access and sharing across agencies (Barki and Pinsonneault, 2005;Yang et al, 2014;Welch et al, 2016;Wang, 2018). Government agencies are most likely to carefully protect their data proprietarily, rather than actively sharing them with one another (Welch et al, 2016;Wang, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Efficient and effective IDS is an indispensable basis for China's IPGS development (Zhou et al, 2020); however, IDS is highly problematic and complex. It is not only constrained by social, economic and political environments, but is also hindered by the lack of organizational and government readiness, technological tools, and interagency collaboration (Fan et al, 2014;Wang, 2018).…”

Section: Introductionmentioning

confidence: 99%

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“Data stickiness” in interagency government data sharing: a case study

Zhou

Chen

Han

2021

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PurposeThe provision of high-quality e-Government services requires efficient and collaborative sharing of data across varied types of government agencies. However, interagency government data sharing (IDS) is not always spontaneous, active and unconditional. Adopting a stickiness theory, this paper reports on a research study, which explores the causes of data stickiness in IDS.Design/methodology/approachThis study employed an inductive case study approach. Twenty-three officials from the government of City M in Hubei Province, Central China, were approached and interviewed using a semi-structured question script.FindingsThe analysis of the interview data pointed to 27 causes of data stickiness in five main themes: data sharing willingness; data sharing ability; data articulatability; data residence; and data absorptive capacity. The analysis revealed that interagency tensions and lack of preparedness of individual agencies are the main causes of data stickiness in IDS.Originality/valueThe case setting is based on China's Government, but the findings offer useful insights and indications that can be shared across international borders.

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“…Considering their research and practice experiences, these experts will explain the quality, reuse and governance of open scientific data and open government data from different perspectives. Professor Fang Wang engaged in open data research for many years, involving the risk of OGD (Wang et al 2019), the dynamic mechanism of inter‐agency government data sharing (Wang, 2018), the utilization rate of government websites (Wang, 2014), and the construction of emergency management ontology (Wang, 2020), etc. Besides, she is also leading a project on scientific data management funded by the Chinese Academy of Sciences.…”

Section: Introductionmentioning

confidence: 99%

Quality, Reuse and Governance of Open Data

Wang

Zhu

2021

Proceedings of the Association for Information Science and Tech

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In recent years, the amount of open data from governments and academic communities have increased rapidly. Open data are expected to promote the transparency and accountability of governments and academic communities, enable public participation, and facilitate digital innovation. However, open data are still facing problems such as unsatisfactory quality, insufficient data governance, increasing preservation cost and ineffective data reuse at present. This panel will invite experts in related fields to discuss the quality, reuse, and governance of open data, and propose feasible solutions from an international perspective. We will verify and promote the action plan in practice, and have more academic discussion with ASIS&T and relevant academic communities.

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Understanding the dynamic mechanism of interagency government data sharing

Cited by 27 publications

References 23 publications

Algorithmic Bureaucracy: Managing Competence, Complexity, and Problem Solving in the Age of Artificial Intelligence

Algorithmic Bureaucracy: Managing Competence, Complexity, and Problem Solving in the Age of Artificial Intelligence

“Data stickiness” in interagency government data sharing: a case study

Quality, Reuse and Governance of Open Data

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