fdata-02-00048-g0008_Application of a Novel Subject Classification Scheme for a Bibliographic Database Using a Data-Driven Correspondence.tif Kei Kurakawa Yuan Sun Satoko Ando 10.3389/fdata.2019.00048.s010 https://frontiersin.figshare.com/articles/dataset/fdata-02-00048-g0008_Application_of_a_Novel_Subject_Classification_Scheme_for_a_Bibliographic_Database_Using_a_Data-Driven_Correspondence_tif/11946666 <p>A novel subject classification scheme should often be applied to a preclassified bibliographic database for the research evaluation task. Generally, adopting a new subject classification scheme is labor intensive and time consuming, and an effective and efficient approach is necessary. Hence, we propose an approach to apply a new subject classification scheme for a subject-classified database using a data-driven correspondence between the new and present ones. In this paper, we define a subject classification model of the bibliographic database comprising a topological space. Then, we show our approach based on this model, wherein forming a compact topological space is required for a novel subject classification scheme. To form the space, a correspondence between two subject classification schemes using a research project database is utilized as data. As a case study, we applied our approach to a practical example. It is a tool used as world proprietary benchmarking for research evaluation based on a citation database. We tried to add a novel subject classification of a research project database.</p> 2020-03-06 06:19:22 bibliographic database data-driven correspondence research project database subject classification scheme topological space