Abstract

In this research, we intended to discover all types of information related to international research cooperation, collect information by each type, and build a database. To this end, we initially developed metadata, discussed with metadata experts to develop metadata in the primary phase, and conducted a survey on the experts related to international research cooperation. Furthermore, we collected and entered data in the meta field for each type of information source, and verified the meta field through processes such as the existence of actual data for each meta field, among others. The types of database designed in this research are the international research cooperation information source database, international research cooperation project database, international research cooperation expert database, international research cooperation institution database, international organization database, and other database, and as a result of validating of the field by entering the data by conducting the survey, the survey results and the data entry rate by field demonstrated such a high rate of consistency. However, only the international organization data field was confirmed to have approximately 25% of the field having the data entry rate of less than 10% despite the high rate of significance rated by the users.