Abstract
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.
Highlights
Subject classification is a popular and useful aspect for academic database and data analysis
We proposed an approach to apply a new subject classification scheme for a bibliographic database that is already classified by using a subject classification scheme
We presented our approach based on the model, wherein forming a compact topological space is necessary for a novel subject classification scheme
Summary
Subject classification is a popular and useful aspect for academic database and data analysis. Academic resources, such as research articles, journals, conference proceedings, books, field samples, software, and various electronic materials, are organized by subject classifications in the general or domain-specific approach. University libraries, institutional resource centers, and research labs organize their research resources in an efficient manner to gain easy access to these resources when necessary. Academic fields are fundamental concepts of academic classifications for organizing academic materials. Institutional research (IR) focuses on research and educational activities, in which the research and educational portfolios of researchers, professors, and staff are analyzed through subject classifications. The databases of national grants are often surveyed via subject classifications
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