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A Study on Research Data Creation and Management by Researchers in Mechanical Engineering

기계공학분야 연구자들의 연구데이터 생산과 관리에 관한 연구

  • 박윤미 (한국기계연구원, 이화여자대학교 일반대학원 문헌정보학과 기록관리학전공) ;
  • 김지현 (이화여자대학교 사회과학대학 문헌정보학과)
  • Received : 2021.10.19
  • Accepted : 2021.11.15
  • Published : 2021.11.30

Abstract

This study aimed to examine the perception and experience of researchers in the field of mechanical engineering on research data creation and management, and suggest implications for research data management and services in the field. Research data management and services of domestic and foreign research institutes were investigated, and in-depth interviews were conducted with researchers belonging to domestic mechanical engineering research institutes to analyze the perception and conduction of research data creation and management according to four major categories: "research data, accountable conducting of research and compliance with research ethics, utility and effectiveness of research data management, and the value of sharing research data." To ensure effective research data management and services in mechanical engineering, it is necessary to conduct a data investigation on the process, type, and form of production to collect explicit metadata and implicit contextual information. It is also necessary to propose a plan to recognize research results using the publication of data journals and to prepare infrastructure such as a cloud-based system that supports safe data management and communication between researchers. In addition, it suggests that it is important for various officials in the research field to allocate roles and responsibilities for research data management and services at the organizational level.

본 연구는 기계공학 분야 연구자들의 연구데이터 생산과 관리에 대한 인식과 경험을 조사하고 해당 분야의 연구데이터 관리와 서비스를 위한 시사점을 제안하는 것을 목적으로 한다. 국내외 연구기관의 연구데이터 관리 및 서비스에 대해 알아보고, 국내 기계공학 분야 연구기관의 소속 연구자들을 대상으로 심층 면담을 실시하여 '연구데이터, 책임있는 연구수행과 연구윤리 준수, 연구데이터 관리의 효용성 및 효과성, 연구데이터 공유의 가치' 등 4개의 주요범주로 연구데이터 생산과 관리에 대한 인식과 행태를 분석하였다. 기계공학분야 연구데이터 관리와 서비스를 위해서는, 생산과정과 유형, 형태에 대한 데이터 조사를 실시하여 명시적 메타데이터와 암시적 맥락정보의 수집이 필요하며 데이터학술지에 데이터 논문을 출판함으로써 연구실적으로 인정하는 방안을 제안하고 안전한 데이터 관리와 연구자들간의 소통을 지원하는 클라우드 기반 시스템 등의 인프라 마련이 필요하다. 또한 연구 현장의 다양한 관계자들이 조직적 차원의 연구데이터 관리와 서비스에 대한 역할과 책임을 배분하는 것이 중요함을 제언하였다.

Keywords

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