Journal of Information Resources Management ›› 2025, Vol. 15 ›› Issue (3): 37-48.doi: 10.13365/j.jirm.2025.03.037

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Exploration of the Five-stage Theoretical Model of Data Elementization of Cultural Heritage

Sun Jing1 Zhang Tong1 Wang Jiandong2   

  1. 1.College of Engineering, Peking University, Beijing, 100871; 
    2.Price Monitoring Center of National Development and Reform Commission, Beijing, 100837
  • Online:2025-05-26 Published:2025-06-16
  • About author:Sun Jing, librarian, research interests include digital libraries, data analysis and scientific evaluation;Zhang Tong, assistant researcher, research interests include cultural heritage protection and education management;Wang Jiandong (corresponding author), research interests include data pricing, big data analysis and data element governance, Email: wangjd_wyzx@126.com.
  • Supported by:
    This paper is supported by the Major Project of the National Social Science Foundation of China "Research on the Construction and Service of Cultural Heritage Smart Data Resources"(21&ZD335)

Abstract: The elementization of cultural heritage data demonstrates a positive role in stimulating the value of such data and promoting the development of the cultural industry. However, challenges such as difficulties in data rights confirmation, lack of standards, an underdeveloped market system, and inconsistent pricing logic persist throughout the elementization process. This article innovatively proposes a five-stage theoretical model for the elementization of cultural heritage data, offering insights into activating its value and facilitating the transformation and upgrading of the cultural industry. At different stages of the elementization process, it is necessary to address these challenges and promote development by building a national platform for the registration and verification of cultural heritage data property rights, formulating standards and guidelines for data product development, optimizing valuation frameworks for data assets, improving trading mechanisms, and enhancing the regulatory system for financial innovation related to cultural heritage data.

Key words: Cultural heritage, Data element, Data resources, Data asset, Data capital

CLC Number: