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Purpose – The purpose of this paper is to collect the global status data of digital repositories automatically and analyzed it by building a database. For analysis criteria the following were utilized: first, China, Japan and Republic of Korea (CJK) repository operational status; second, language of the repository content; third, repository type, fourth, repository of CJK by subject area; fifth, the amount of repository content; and sixth, repository software. Design/methodology/approach – OpenDOAR and ROAR services were used as the sources to obtain the information on the digital repository. Those sources are representative services that provide the digital repository registration services and are used as sources in a variety of studies. A six kinds of data analysis criteria: first, CJK repository operational status; second, language of the repository content; third, repository type; fourth, repository of CJK by subject area; fifth, the amount of repository content; and sixth, repository software were utilized. Findings – First, CJK is operating 288 repositories (8 percent compared to the world, 42.2 percent compared to Asia). Second, the repositories that provide Japanese, Chinese and Korean contents are 5.57 percent, 4.14 percent and 0.72 percent, respectively. Third, the repository operated by the government is inadequate in Asia. Fourth, in Korea and Japan, the repositories in the field of humanities and social sciences appeared all in the top 10. Fifth, Korea provides 1,342,845 cases of contents (0.81 percent compared to the global). Sixth, the “DSpace” software is most widely utilized as a repository system and it is the same in CJK. Originality/value – This results of this study can be used to identify the repository status in Korea compared to global and to CJK, and can be utilized as a basis to determine the direction of the repository promotion and policy in Korea and also to administer the national R&D budget.

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Knowledge map is widely used to represent knowledge in many domains. This paper presents a method of integrating the national R&D data and assists of users to navigate the integrated data via using a knowledge map service. The knowledge map service is built by using a lightweight ontology modeling method. The national R&D data is integrated with the research project as its center, i.e., the other R&D data such as research papers, patent, and project reports are connected with the research project as its outputs. The lightweight ontology is used to represent the simple relationships between the integrated data such as project-outputs relationships, document-author relationships, and document-topic relationships. Knowledge map enables us to infer the further relationships such as co-author and co-topic relationships. To extract the relationships between the integrated data, a RDB-to-Triples transformer is implemented. Lastly, we show an experiment on R&D data integration using the lightweight ontology, triples generation, and visualization and navigation of the knowledge map.