Dr JUNGHO UM1, Dr Hyunwoo Kim1, Dr Myeongseok Choi1, Dr Sanghwan Lee1
1KISTI, Daejeon, Republic of Korea
Recently, many scientific kinds of research are using the advantage of sharing and opening for research data. For example, the sharing of COVID-19 research data set in the world contributes to recover the pandemic. As researchers in Korea recognize the importance of sharing and opening research data, the requirement of data management in an institution is also growing up. In order to support research data management in research institutions, we develop an institutional data repository. It calls the National Research Data Archive (NaRDA). The main features of NaRDA are as follows. First, NaRDA is implemented to run in a docker-based container to minimize installation and distribution effort. Second, submission and dissemination components of NaRDA can be modified except for the changing of data management components. Therefore, NaRDA can be built up a separate repository system which customized from each institution’s requirements. Third, to manage large amounts of data, iRODS adopted in NaRDA. iRODS provides storage scalability and data virtualization so that NaRDA can store large amounts of research data without changing logical data management policy. Fourth, NaRDA manages research data in a collection structure that can be logically grouped. And research data with various metadata schemas can be registered in the same collection. Fifth, NaRDA provides a function for the user to edit the relationship between research data according to the DataCite metadata scheme. Currently, we are developing a function to support the data management plan (DMP) submission and to enable description and search of data prior to the submission.
JUNG-HO UM received the Ph.D. degree in computer engineering from Chonbuk National University, South Korea. He is currently a Senior Researcher with the Korea Institute of Science and Technology Information (KISTI).
His current research interests include research data, database, and information retrieval.