摘要
[目的/意义]为了提升专利公共信息服务的效能,适应以数据驱动创新的变革,研究以数据为中心的专利公共数据质量策励路径。[方法/过程]针对以数据为中心的专利公共数据质量显性指标缺失和公众利用专利公共数据的需求和障碍,借鉴用户需求的质量维度分析方法,综合数据治理和专利公共数据利用的指标,确定策励专利公共数据质量的关键维度。[结果/结论]以数据完整性、清晰性和易检索性为专利公共数据质量策励维度,给出策励专利公共数据质量的具体措施。
[Purpose/Significance]In the context of data-driven technology innovation,patent data has become the engine that drives technological innovation.In order to improve the efficiency of patent public information services and adapt to data-centric innovation and reform,the paper researches on the patent public data quality incentive paths.[Method/Process]To solve the problems of the lack of explicit indicators of data-centric patent public data quality,the quality dimension analysis method of user needs was used to analyze the public's needs and obstacles to using patent public data.The quality requirements centering on data and patent examination are integrated to seek the dimensions that encourage the quality of patent public data.[Result/Conclusion]The paper determines the data integrity,clarity and ease of retrieval as the dimensions of patent data quality,and analyzes the relevant patent factors to give specific measures to improve the quality of the patent public data.
作者
李秀娟
Li Xiujuan(IP School,East China University of Political Science and Law,Shanghai 201620)
出处
《情报杂志》
CSSCI
北大核心
2020年第11期120-125,共6页
Journal of Intelligence