Archive data fusion is one of the means to realize the value of data economy elements in developing new quality productivity,promoting enterprise and social progress. The integration of archival data for productivity and economic development faces challenges in various aspects such as technology,talent,policies and regulations,especially in terms of data security and privacy protection. This study focuses on exploring the potential risks and issues in the process of archive data fusion,and proposes targeted solutions,including data quality,data privacy,cost control,and other aspects. By exploring theoretical logic and practical strategies,we aim to help realize the value of data fusion,promote productivity development,and advance economic prosperity and social progress.
关键词
档案数据,数据融合/新质生产力/经济增长,数据质量/数据隐私/成本控制
Key words
Archive data/Data fusion/New quality productivity/Economic growth/Data quality/Data privacy/Cost control
维普
万方数据