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A General Theory of Medical Big Data and Crucial Issues

In: Governance and Management of Medical Scientific Data Sharing and Application

Author

Listed:
  • Jian Guan

    (Peking Union Medical College Hospital, Peking Union Medical College (PUMC) & Chinese Academy of Medical Sciences (CAMS))

Abstract

There is no universally accepted definition of big data, yet it is characterized by widely recognized attributes. Medical big data embodies all these characteristics. These attributes present certain challenges for big data and its applications. We elaborates on medical big data and its interpretation, encompassing three representative of medical big data that exhibit distinct compositional features. We discuss misconceptions in medical big data applications emphasizing that the implementation of big data requires technical analysis, and address unique technological, legal, and ethical challenges. Here we focus on core issues and controversies in medical big data, particularly the challenges of confirming property rights and potnetial solutions, with special attention paid to Aggregated Data rights. We also analyze the applicability of traditional intellectual property frameworks and point out the impact of technological advancements on right confirmation.

Suggested Citation

  • Jian Guan, 2026. "A General Theory of Medical Big Data and Crucial Issues," Springer Books, in: Governance and Management of Medical Scientific Data Sharing and Application, chapter 0, pages 301-334, Springer.
    • Handle: RePEc:spr:sprchp:978-981-95-2806-6_10
    DOI: 10.1007/978-981-95-2806-6_10
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