• Title/Summary/Keyword: machine-actionable DMP

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Machine-actionable Data Management Plans Model Analysis and Improvement Direction

  • Kim, Suntae
    • 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.

A Study on the maDMP (machine-actionable DMP) Implementation Cases and its Application Method (maDMP 구현 사례와 적용방안에 관한 연구)

  • Kim, Juseop;Kim, Suntae;Han, Yeonjung;Youe, Won-Jae
    • 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.