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This paper describes a new technique of database, eXtensible Business Reporting Language (XBRL) for higher education, which is aimed for an infrastructure for data analysis and knowledge discovery in education financial field. Especially this paper focuses on financial statements of national university in Japan. In recent years, university comparative analysis and university evaluation play more important role in the worldwide higher education reformation. In Japan, implementation of university evaluation for the national university is remarkable within these ten years. Comparative analysis and evaluation on university finance are mainly conducted based on the financial statements, which are composed of balance sheet, Income statement, cash flow statement, and so on. It is expected that the electrical submission and dissemination of university financial statements will develop rapidly in the near future. Therefore, intercollegiate comparative analysis and data mining on common format of university financial statements will be more important. In this paper, we conduct common taxonomy design on the data for financial statements of the national university of Japan, where XBRL has not yet been introduced so far. We propose “NUV Taxonomy” for Balance Sheet and Income Statement. Moreover, we are developing XBRL information system that can produce financial report table and financial indicator.
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on (Volume:4 )
Date of Conference: 26-28 July 2011