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A Study on the Scholarly Information and Data Requirements of Researchers for Data-Driven Research and Development

  • Journal of the Korean Society for Library and Information Science
  • 2024, 58(1), pp.255-283
  • DOI : 10.4275/KSLIS.2024.58.1.255
  • Publisher : 한국문헌정보학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : January 22, 2024
  • Accepted : February 7, 2024
  • Published : February 28, 2024

SEOK HYOUNG LEE ORD ID 1 Kangsan-Dajeong Lee 2 Jayhoon Kim 3 Hyejin Lee 3

1충남대학교
2한국과학기술정보연구원, 콘텐츠큐레이션 센터
3한국과학기술정보연구원

Excellent Accredited

ABSTRACT

In this study, as a preliminary research to effectively support data-driven R&D of researchers, we analyzed the academic information and data requirements for researchers to discover new types of academic information and datasets, and to propose directions for academic information services. To achieve the research objectives, we conducted an exploratory case study involving five researchers and administered an online survey among ScienceON users to glean insights into data-driven R&D behaviors and information/data requirements. As a result, researchers relatively referred to academic papers, datasets and software information from academic papers or conference materials. Moreover, the methods and pathways for acquiring data, as well as the types of data, varied across different subject areas. Researchers often faced challenges in data-driven R&D due to difficulties in locating and accessing necessary datasets or software such as learning models. Therefore it has been analyzed that for future support of data-driven R&D, there is a need to systematically construct datasets by subject. Additionally, it is considered necessary to extract and summarize dataset and related software information in conjunction with academic papers.

Citation status

* References for papers published after 2022 are currently being built.