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Machine-actionable Data Management Plans Model Analysis and Improvement Direction

Research output: Contribution to journalJournal articlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)20-28
Number of pages9
JournalJournal of Information Science Theory and Practice
Volume8
Issue number4
DOIs
StatePublished - 2020

Keywords

  • data management plans
  • DMP
  • machine-actionable DMP
  • research data
  • research data management

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Library & Information Management

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