• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.3
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• pp.187-215
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• 2021

Due to the ongoing spread of digital technology, there is a movement around the world to open the process and results of research, and Open Science in order to improve access to data produced during the research process, which, as a result, supports the open development and advancement of science. In Korea, discussions on the DMP service are starting at domestic universities for the systematic management, sharing, and utilization of research data. Therefore, in this study, the status of DMP services provided by overseas university libraries were examined through case studies, opinions and requirements for DMP services. The effectiveness of DMP services were confirmed with collected research data, including interviews with research support service personnel of domestic university libraries. Through this, it was intended to suggest matters to be considered in terms of policy making, service implementation and awareness enhancement when providing DMP service in domestic university libraries.

• 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.

• International Journal of Knowledge Content Development & Technology
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• v.10 no.1
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• pp.7-20
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• 2020

For research data to be shared without legal, financial and technical barriers in the Open Science era, data repositories must have the functional requirements asked by DMP and CoreTrustSeal. In order to derive functional requirements for the data repository, this study analyzed the Data Management Plan (DMP) and CoreTrustSeal, the criteria for certification of research data repositories. Deposit, Ethics, License, Discovery, Identification, Reuse, Security, Preservation, Accessibility, Availability, and (Meta) Data Quality, commonly required by DMP and CoreTrustSeal, were derived as functional requirements that should be implemented first in implementing data repositories. Confidentiality, Integrity, Reliability, Archiving, Technical Infrastructure, Documented Storage Procedure, Organizational Infrastructure, (Meta) Data Evaluation, and Policy functions were further derived from CoreTrustSeal. The functional requirements of the data repository derived from this study may be required as a key function when developing the repository. It is also believed that it could be used as a key item to introduce repository functions to researchers for depositing data.

• Journal of Korean Society of Archives and Records Management
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• v.19 no.1
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• pp.1-21
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• 2019

Research records are essential records to explain the accountability of research throughout the life cycle of a research project. Thus, they need to be properly managed, preserved, and shared. This study analyzed the effectiveness and ability of applying DMP to research records management. This study also suggested the RRMP (Research Records Management Plan) for the research records management and preservation in scientific research institutes. RRMP is considered as up-front planning for the research records management and preservation before any records are created.

• Journal of Information Science Theory and Practice
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• v.8 no.4
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• pp.20-28
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• 2020

In this study, the RDA DMP Common Standard (RDCS), a data model for implementing a machine actionable Data Management Plan (maDMP), was analyzed in four aspects. First, the twelve class models proposed by RDCS were analyzed. Second, whether the DMP attribute was included in the class attribute was analyzed. Third, we analyzed the namespace used for RDCS properties. Fourth, the values and identifiers used in RDCS properties were analyzed. As a result of the analysis, four directions for improvement were derived. First, it is necessary to add an academic record class to describe information such as papers and reports, which are representative academic documents. Second, the primary research institution, responsibility, resources, option attribute, and additional attributes are needed to describe the researcher's affiliation information. Third, it is necessary to additionally use a namespace such as Friend of a Friend that can be used universally. Fourth, the use of digital object identifier should be considered to identify academic literature.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.3
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• pp.317-344
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• 2019

Increasing the value of data, paradigm shifts in research methods, and specific manifestations of open science indicate that research is no longer text-centric, but data-driven. In this study, we analyzed the services for DCC, ICPSR, ANDS and DataONE to derive key elements and functional requirements for research data management and services that are still insufficient in domestic research. Key factors derived include DMP writing support, data description, data storage, data sharing and access, data citations, and data management training. In addition, by presenting functional requirements to the derived key elements, this study can be applied to construct and operate RDM service in the future.

• KSLA Bulletin
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• s.11
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• pp.36-47
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• 2020

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.1
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• pp.393-416
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• 2018

In this study, major steps of the research data management plan were derived through the research data management guidelines of major countries (NISO DMP in the US, UK DMP in UK archives, etc.). The results obtained are support for research data policy & planning, research data technical support, research data sharing support, research data legal mechanism support, and research data education support. In this study, we analyzed seven cases of data sharing among 7 domestic and foreign biotechnology. Shared use case countries are limited to the United Kingdom and the United States, which play a leading role in the management of research data. In Korea, shared cases were analyzed for the Korean Bio Information Center and related systems, which is a research and performance management and distribution agency designated by the Ministry of Science and Technology.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.220-229
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• 2020

With the recent development of digital technology, the research paradigm is evolving towards data-driven. National management and utilization of research data is a key element not only to enhance research transparency and efficiency, but also to prepare for a data-driven society. Policies and infrastructure for sharing and utilization of research data from publicly-funded research are being actively promoted worldwide. In Korea, related regulations were recently revised to mandate to submit a data management plan (DMP) when proposing a national R&D project. In order to effectively implement the sustainable DMP system, researchers need various support. In addition, guidelines and implementation procedures are essential for management and utilization of research data at the national or institutional level. In this paper, we provide an overview of the data management plan, examine the current status and issues in Korea, and suggest a template and checklists of data management plan, and an implementation procedure at research institutes.

• The Journal of Bigdata
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• v.4 no.2
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• pp.127-139
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• 2019

Research Data Management (RDM) is a system that encompasses people, policies, resources and technologies that provide and support directions in producing, collecting, using, and preserving research data. RDMs consist of a wide range of activities, including supporting the creation of data management plans (DMPs), building data collections and repositories, and digital preservation and distribution. In advanced countries, systems for RDMs and related organizations are well organized and functioning, but in Korea, the management system is insufficient due to low level of data awareness. In this paper, we propose a plan to establish a research data management system suitable for the reality. In particular, it is important to reflect in RDM that the construction of big data platforms for the collection and management of big data in each field and organization is increasing rapidly. Also, we will discuss how to provide data provision and researchers' data sovereignty using blockchain technology, and propose a P2P-based decentralized RDM scheme.