图书馆杂志

图书馆杂志 ›› 2025, Vol. 44 ›› Issue (415): 4-14.

• 理论探索 •    下一篇

文化遗产数字资源的数据生产与再生产理论探析

张云中1, 2  姚佳颖3  冯 晓1(1 上海大学文化遗产与信息管理学院 2 上海大学情报研究中心 3 杭州图书馆)   

  • 出版日期:2025-11-15 发布日期:2025-11-26
  • 作者简介:

    张云中 上海大学文化遗产与信息管理学院,上海大学情报研究中心,教授。研究方向:数字人文、知识组织、情报分析。作者贡献:确定选题、提出研究思路和框架、论文修改。E-mail zhang-yun-zhong @ 126. com上海 200444
    姚佳颖 杭州图书馆。研究方向:知识组织。作者贡献:论文起草及修改。 浙江杭州 310016
    冯 晓 上海大学文化遗产与信息管理学院。研究方向:数据管理与数据科学。作者贡献:论文修改。 上海200444 

Analysis of the Theory of Data Production and Reproduction of Cultural Heritage Digital Resources

Zhang Yunzhong1 2 Yao Jiaying3 Feng Xiao1(1 School of Cultural Heritage and Information Management Shanghai University 2 InformationResearch Center Shanghai University 3 Hangzhou Public Library)   

  • Online:2025-11-15 Published:2025-11-26
  • About author:Zhang Yunzhong1 2 Yao Jiaying3 Feng Xiao1(1 School of Cultural Heritage and Information Management Shanghai University 2 InformationResearch Center Shanghai University 3 Hangzhou Public Library)

摘要:

厘清文化遗产数字资源领域数据生产与再生产过程的特征表现与关键内核对助推文化遗产数字化进程具有重要意义。本文首先解析数据生产与再生产理论,区分数据来源与数据生产者概念,将数据的生产过程细化为数据生产、数据准生产、数据再生产三阶段。随后从要素、技术、权利、文化、价值5 个维度解读文化遗产数字资源的数据生产与再生产过程,从中凝练文化遗产数字资源建设的关键内核。本研究明晰文化遗产数字资源领域的数据生产过程及其边界,识别各生产阶段的底层逻辑及要素、技术、权利、文化、价值5 个维度的属性表现,讨论要素融合、虚实场域、权利配置、文化创新、价值释放5 个关键点的建设方向。

关键词: 文化遗产&emsp, 数字资源&emsp, 数据生产&emsp, 数据再生产&emsp, 数据要素

Abstract:

It is of great significance to clarify the characteristics and core principles of data productionand reproduction in the field of cultural heritage digital resources to promote the digital process of culturalheritage. Firstly the study analyzes data production and reproduction distinguishes between data sourcesand data producers and divides the production process into three stages data production data quasiproductionand data reproduction. It then interprets the production and reproduction process of culturalheritage digital resources from five dimensions elements technology rights culture and value andsummarizes the key cores in the development of cultural heritage digital resources. This study clarifies thedata production process and its boundary in the field identifies the underlying logic of each productionstage and examines the attribute performance of the five dimensions. Finally it discusses developmentdirections based on five key aspects elements integration virtual-real field interaction rights allocationcultural innovation and value realization.