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Analysis and Modeling of Essential Concepts and Process for Peer-Reviewing Data Paper

  • Journal of Korean Library and Information Science Society
  • Abbr : JKLISS
  • 2023, 54(3), pp.321-346
  • DOI : 10.16981/kliss.54.3.202309.321
  • Publisher : Korean Library And Information Science Society
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : August 22, 2023
  • Accepted : September 20, 2023
  • Published : September 30, 2023

Sungsoo Ahn 1 Sung-Nam Cho 2 Youngim Jung ORD ID 2

1경상국립대학교 항공우주및소프트웨어공학부
2한국과학기술정보연구원

Accredited

ABSTRACT

A data paper describing research data helps credit researchers producing the data while helping other researchers verify previous research and start new research by reusing the data. Publishing a data paper and depositing data to a public data repository are increasing with these benefits. A domestic academic society that plans to publish data papers faces challenges, including timely acquiring tremendous knowledge concerning data paper structures and templates, peer review policy and process, and trustworthy data repositories, as a data paper has different characteristics, unlike a research paper. However, the need for more research and information concerning the critical elements of data paper and the peer-review process makes it difficult to operate for data paper review and publication. To address these issues, we propose essential concepts of the data paper and the data paper peer-review, including the process model of the peer-review with in-depth analysis of five data journals’ data paper templates, articles, and other guides worldwide. Academic societies intending to publish or add data papers as a new type of paper may establish policies and define a peer-review process by adopting the proposed conceptual models, effectively streamlining the preparation of data paper publication.

Citation status

* References for papers published after 2023 are currently being built.