Empowering Library Efficiency Evaluation:Analysis of Data Kinship Driven Indicator Management and Application
With the continuous growth of data,traditional indicator management methods face enormous challenges.Exploring data kinship is one of the effective ways for data governance in the field of library and intelligence.Based on the concept of data kinship,the article takes indicator management as an example,analyzes the application scenarios of data kinship in assessment indicator management,and designs the corresponding technical route.By collecting relevant data from public cultural institutions,tracking the dependency relationship between indicators and the flow of data,realizing the directed graph expression of data relationship,and elaborating the key technologies,a prototype system of data kinship in indicator management is constructed.Through exploring the data kinship,the complex and profound relationships between public culture assessment indicators are discovered,and the indicator kinship are established on this basis,which proves the feasibility of introducing the data kinship-driven approach into library data management,and provides new perspectives and ways for data management and optimization.
Data kinshipIndex managementData governanceData management
NETL
NSTL
万方数据
