• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.85-88
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• 2023

오픈 사이언스 운동의 활성화로 인해 다양한 연구 관련 자원들 간의 상호 운용성 확보를 위한 노력이 활발해지고 있다. 특히, 글로벌 연구데이터 커먼즈(Global Open Research Commons) 모델 개발 관련 표준화 활동이 세계 최대 연구데이터 커뮤니티인 RDA(Research Data Alliance)의 주도로 진행되어 왔고, 최근에 GORC Working Group 에서 버전 1.0 모델을 오픈하였다. 이에 이 모델에 대해 살펴보고 국내의 연구데이터 커먼즈인 KRDC(Korea Research Data Commons)와 비교 및 시사점을 논하고 향후 연구 방향을 소개한다.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.25-38
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• 2022

Research data means data used or created in the course of research or experiments. Research data is very important for validation of research conducted and for use in future research and projects. Recently, convergence research between various fields and international cooperation has been continuously done due to the explosive increase of research data and the increase in the complexity of science and technology. Developed countries are actively promoting open science policies that share research results and processes to create new knowledge and values through convergence research. Communities to promote the sharing and utilization of research data such as RDA (Research Data Alliance) and COAR (Confederation of Open Access Repositories) are active, and various platforms for managing and sharing research data are being developed and used. OpenAIRE (Open Access Infrastructure for Research In Europe), a research data platform in Europe, ARDC (Australian Research Data Commons) in Australia, and IRDB (Institutional Repositories DataBase) in Japan provide research data or research data related services. Korea has been establishing and implementing a research data sharing and utilization strategy to promote the sharing and utilization of research data at the national level, led by the central government. Based on this strategy, KISTI has been building a Korean research data platform (DataON) since 2018, and has been providing research data sharing and utilization services to users since January 2020. This paper reviews the characteristics of DataON and how it is used for research by showing its applications.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.4
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• pp.111-134
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• 2021

Recently, the preparation and submission of DMP is gradually becoming compulsory, centering on domestic government-funded research institutes. However, as DMP preparation is described in written or free text, there is a problem that research data management cannot be properly explained due to non-standardization and insufficient preparation in terms of standards, formats, and management. Therefore, in this study, a case study was conducted on a machine-readable DMP that can be automatically generated and maintained by a machine, and a method for applying maDMP was proposed. Examples of maDMP investigated included RDCS, Argos, Haplo Repository, and DMap. In addition, the use of permanent identifiers, application of controlled vocabulary, and application of semantic technologies such as ontology can be mentioned as possible ways to apply maDMP.