The data sharing practices and challenges in Uganda

Tomusange, Isaac; Yoon, Ayoung; Mukasa, Norman

doi:10.1002/pra2.2017.14505401168

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…A DGF is a process for organizing data asset management (Sarsfield, 2009). DGFs use data aggregation and standardization to reduce the time, human and financial investments required in repeated data collection (Tomusange et al, 2017), aid government decisionmaking via data analysis and processing, secure data and enable data evaluation. Organizational structures are often characterized by distributed development.…”

Section: Challenges Faced By Data Governance Frameworkmentioning

confidence: 99%

Government data governance framework based on a data middle platform

Qiao

et al. 2021

AJIM

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PurposeThe present paper constructed a new framework for government data governance based on the concept of a data middle platform to elicit the detailed requirements and functionalities of a government data governance framework.Design/methodology/approachFollowing a three-cycle activity, the design science research (DSR) paradigm was used to develop design propositions. The design propositions are obtained based on a systematic literature review of government data governance and data governance frameworks. Cases and experts further assessed the effectiveness of the implementation of the artifacts.FindingsThe study developed an effective framework for government data governance that supported the digital service needs of the government. The results demonstrated the advantages of the framework in adapting to organizational operations and data, realized the value of data assets, improved data auditing and oversight and facilitated communication. From the collection of data to the output of government services, the framework adapted to the new characteristics of digital government.Originality/valueKnowledge of the “data middle platforms” generated in this study provides new knowledge to the design of government data governance frameworks and helps translate design propositions into concrete capabilities. By reviewing earlier literature, the article identified the core needs and challenges of government data governance to help practitioners approach government data governance in a structured manner.

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Section: Challenges Faced By Data Governance Frameworkmentioning

confidence: 99%

Government data governance framework based on a data middle platform

Qiao

et al. 2021

AJIM

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“…However, IDS is highly problematic and is hindered by barriers, which include organizational and management (e.g. Crosby and Bryson, 2005;McGuirk et al, 2015;Gil-Garcia and Sayogo, 2016;Tomusange et al, 2017), technical (e.g. Dawes, 1996;Zhang and Dawes, 2006;Gil-Garcia and Burke, 2010;Gil-Garcia and Sayogo, 2016;Zhou et al, 2020), relational (e.g.…”

Section: Theoretical Basismentioning

confidence: 99%

“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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Study on Government Data Governance Framework: Based on the National Data Strategy in the US, the UK, Australia, and Japan

Seo

Kwon

2023

Studies in Computational Intelligence

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The data sharing practices and challenges in Uganda

Cited by 4 publications

References 4 publications

Government data governance framework based on a data middle platform

Government data governance framework based on a data middle platform

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

Study on Government Data Governance Framework: Based on the National Data Strategy in the US, the UK, Australia, and Japan

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