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June 10, 2026Science and Public Policy

Perspectives on South Africa’s open science policy: artificial intelligence and data ownership as unresolved questions

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Authors

DTDonrich ThaldarNANyna AminSPSiddharthiya Pillay

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Overview

Analysis reveals unresolved issues regarding data ownership and AI in South Africa's open science policy, suggesting potential limitations.

Key Points

  • The aim is to analyze South Africa’s open science policy, focusing on unresolved questions around AI and data ownership.
  • Evaluated South Africa's National Open Science Policy approved in 2026
  • Identified gaps regarding AI's role in research and data ownership
  • Discussed implications of unresolved foundational questions
  • Policy lacks references to artificial intelligence, important for data production and analysis.
  • Unaddressed ownership of research data could hinder the policy's effectiveness.
  • Without resolution of these questions, the policy may remain aspirational and unimplementable.

Cite This Study

Thaldar et al. (2026) studied this question.

synapsesocial.com/papers/6a28fecb6f82f25be989bf04https://doi.org/10.1093/scipol/scag057
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Ethics and Governance in AI: Implications for Data Ethics in South African Societies, 20122012
  2. 2Ethical Foundations and Governance Frameworks in AI and Data Ethics within South African Societies: A Theoretical Exploration2010
  3. 3A pathway to strengthening open science: comments on the draft South African Ethics in Health Research Guidelines2024
  4. 4The politics of open knowledge: production, certification, and control2026
  5. 5The Open‐Source Paradox: Africa's Digital Sovereignty and the Structural Limits of Artificial Intelligence Autonomy2026 · 1 citations