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<p>This study takes China as its empirical case and provides a regionally grounded perspective on the evolution of scientific data management. Drawing on innovation system theory, it develops a policy–research co-evolution framework. By integrating topic modeling with network analysis on policy documents and research articles, the study identifies evolving topics and their correlations. Results reveal a shift from infrastructure construction to ecosystem governance, accompanied by increasingly complex policy–research linkages. Research shifts from passive response to proactive construction, feeding back into policy and forming a feedback loop that enhances the system’s adaptive capacity. This study broadens the understanding of the connotations of scientific data management and offers an empirical toolkit to support evidence-based policy-making.</p>

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Examining the evolutionary patterns of scientific data management in China: an analysis of correlation between policy and research

  • 期刊论文

  • 发表日期：

    2026年1月10日

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  • Qiaoying Yang,
  • Jiming Hu

摘要

This study takes China as its empirical case and provides a regionally grounded perspective on the evolution of scientific data management. Drawing on innovation system theory, it develops a policy–research co-evolution framework. By integrating topic modeling with network analysis on policy documents and research articles, the study identifies evolving topics and their correlations. Results reveal a shift from infrastructure construction to ecosystem governance, accompanied by increasingly complex policy–research linkages. Research shifts from passive response to proactive construction, feeding back into policy and forming a feedback loop that enhances the system’s adaptive capacity. This study broadens the understanding of the connotations of scientific data management and offers an empirical toolkit to support evidence-based policy-making.