摘要
Abstract
The efficient management and interoperability of digital resources serve as the cornerstone for realizing data empowerment.Traditional resource organization methods,centered on metadata management,are increasingly unable to adapt to the complex collaborative demands across different departments,hierarchies,and business domains,thereby limiting the deep utilization of digital resources.Data products are key elements of circulation in the data market,and unified identification serves as their foundation;research and practice in this area are critical for facilitating data circulation and sharing.Based on a systematic review of the research progress in identification coding methods,this paper addresses key challenges such as the growing complexity of data analysis demands,the heterogeneity of multi-source data,and semantic interoperability required for multi-task coordination in emerging data agent models.It proposes a unified identification coding method for data products.By introducing machine-understandable high-dimensional semantic features,this approach enables data products to serve as a unified interface for agents to recognize and operate data,offering methodological reference and a standardization pathway for advancing the standardized,intelligent,and collaborative development of digital resource systems.关键词
数据产品/统一标识/数据智能体/数据流通/数字资源Key words
data product/unified identification/data agent/data circulation/digital resource分类
管理科学
