IDEAS home Printed from https://ideas.repec.org/a/oup/jiplap/v20y2025i5p291-299..html
   My bibliography  Save this article

Data Intellectual Property Registration and Remedies: Yinmu (Shanghai) Technology Co, Ltd v Shujutang (Beijing) Technology Co, Ltd

Author

Listed:
  • Hong Wu
  • Yupeng Dong

Abstract

‘Data intellectual property’ is a unique concept under China’s data property law. Yinmu (Shanghai) Technology Co, Ltd v Shujutang (Beijing) Technology Co, Ltd clarified for the first time that the ‘Data Intellectual Property Registration Certificate’ obtained for the dataset in question could serve as preliminary evidence of Shujutang’s entitlement to the proprietary interests related to the dataset. It may also serve as initial proof of the legality of the data collection activities or the dataset’s source.This case established a framework for adjudicating dataset infringement cases: if a dataset is publicly available and exhibits originality in the selection and arrangement of its content, it should first be protected as a compilation work. If the dataset is not readily accessible to professionals in the relevant field, it can be protected as a trade secret. If the dataset is publicly available and the selection or arrangement of the data lacks originality, then, in the absence of copyright or trade secret protection, it may be protected under Article 2 of the Anti-Unfair Competition Law, depending on the circumstances.Finally, this article proposes legislative reforms to resolve the issue of confirming and protecting the property rights of datasets.

Suggested Citation

  • Hong Wu & Yupeng Dong, 2025. "Data Intellectual Property Registration and Remedies: Yinmu (Shanghai) Technology Co, Ltd v Shujutang (Beijing) Technology Co, Ltd," Journal of Intellectual Property Law and Practice, Oxford University Press, vol. 20(5), pages 291-299.
  • Handle: RePEc:oup:jiplap:v:20:y:2025:i:5:p:291-299.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/jiplp/jpaf016
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:jiplap:v:20:y:2025:i:5:p:291-299.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/jiplp .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.