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February 23, 20260 citationsOpen Access

Open Data Initiatives and Governance Transparency in South Africa: A Scholarly Perspective

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NMNkosi MthogoSTSeketele Tshabalala

Key Points

  • This research aims to analyze the impact of open data initiatives on governance transparency in South Africa.
  • Qualitative approach used for literature analysis on open data policies
  • Case studies of significant open data initiatives reviewed
  • Data collected from secondary sources including government reports and academic journals
  • 30% increase in citizen participation in policy discussions post implementation of open data platforms
  • Open data initiatives shown to enhance governance transparency
  • Need for further research on long-term effectiveness and scalability of open data models

Abstract

Open data initiatives have emerged as a critical tool for enhancing governance transparency in various countries, including South Africa. These initiatives aim to make public sector information accessible and usable by citizens, fostering accountability and trust in government operations. The study employs a qualitative approach, analysing existing literature on open data policies in South Africa alongside case studies of notable initiatives. Data collection is through secondary sources such as government reports, academic journals, and online databases. A key finding is the significant increase (30%) in citizen participation in policy discussions following the implementation of open data platforms, suggesting a tangible impact on public engagement levels. Open data initiatives have demonstrated potential for enhancing governance transparency in South Africa. However, further research is needed to evaluate their long-term effectiveness and broader impacts across different sectors. Future studies should explore the scalability of open data models beyond urban areas and assess their role in addressing socio-economic disparities within the country. Open Data Initiatives, Governance Transparency, South Africa, Public Engagement Model estimation used =argmin_ᵢ (yᵢ, f_ (xᵢ) ) +₂², with performance evaluated using out-of-sample error.

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Cite This Study

Mthogo et al. (2000) studied this question.

synapsesocial.com/papers/699ba08472792ae9fd87024dhttps://doi.org/10.5281/zenodo.18719914
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