The self-built database for paper duplicate checking refers to a database established by academic institutions or research institutions, which contains a large number of academic papers and research results. These databases usually include papers published in important journals and academic conferences at home and abroad, covering the research results of various disciplines.

The establishment of self-built duplicate checking database is helpful to improve the accuracy and reliability of duplicate checking system. By incorporating academic papers and research results into the self-built database, the system can compare the papers to be searched with the existing documents in the database and find similarities and duplicates. In this way, whether it is text plagiarism or knowledge plagiarism, it is inevitable to be discovered.

The self-built database of paper duplicate checking can be constructed in many ways. The common method is to collect papers from well-known journals and academic conferences at home and abroad, and then analyze and sort out these papers and establish corresponding databases. Another method is to cooperate with other academic institutions or research teams, communicate with each other and enjoy each other, thus expanding the scale and content of the database.

At present, many universities and scientific research institutions have established their own self-built duplicate database for papers, and applied it to academic evaluation and study style construction. By using these systems, we can not only find academic misconduct, but also help researchers find other people's related research results in time and promote academic exchanges and cooperation.