Firstly, CSpace gathers and integrates a vast amount of research data, encompassing published papers, patent applications, project reports, records from academic conferences, and more, to construct a comprehensive knowledge repository reflecting the institution’s research activities. After undergoing data cleaning, standardization, and annotation, this information is fed into intricate data analysis models to extract valuable insights.

Data analysis tools enable multi-faceted evaluation of research outputs, quantifying aspects such as quantity, quality, and developmental trends. For instance, analyzing citation rates, download counts, and reader feedback of papers can gauge the impact and academic worth of research outcomes. Monitoring the expenditure and output ratios of project funds facilitates optimized resource allocation and improved fiscal efficiency. Tracking publication records and collaboration networks of researchers can identify potential research leaders and teams, informing talent selection and team-building strategies.