초록

본 연구는 Figshare를 통해 공유되고 있는 문헌정보학분야 연구데이터의 유형, 주제, 공개 수준 등을 분석하고 재사용성이 상대적으로 높은 데이터의 특성을 통계적으로 해석해 보았다. 분석 결과 데이터의 유형은 dataset과 paper 유형이, 주제 분야는 open access와 research data가 가장 많은 비중을 차지하였으며, 70%에 가까운 연구데이터가 pdf와 같이 편집과 재사용이 원활하지 않은 형태로 공개되어 있는 것으로 조사되었다. 또한 연구데이터의 특성과 활용 정도간의 관계 분석 결과, 주제에 있어서는 APC(Article Processing Charge)를 비롯한 open access 영역이 가장 많이 활용되고 있는 것으로 나타났으며, 데이터 유형에 있어서는 paper의 활용도가 가장 높은 것으로 나타났다.

Abstract

This study analyzed the type, subject and open level of research data in the field of library and information science field shared by Figshare, and statistically analyzed the characteristics of data with relatively high recyclability. The results of the analysis showed that datasets and papers were most common data types, and open access and research data were the most common keywords of data, and that 70% of the data were published in a form that can not be processed mechanically such as pdf. As a result of analysis of the relationship between characteristics of research data and degree of sharing, open access areas such as APC (Article Processing Charge) were found to be most common in the subject. However in data type, gray literature such as paper found to be highly utilized rather than dataset.

초록

Abstract

This study examined two characteristics of library and information science (LIS) journals in Korea through analysis of journal coupling with common authors. This study also illustrated the trend of Korean LIS research in the recent decade. The notable change is that record management and archival studies settle in LIS domain as a major research area. We introduced two indicators, Publishing Preference Index (PPI) and Researcher Attraction Index (RAI), based on the degree of common authors among journals. Both indicators revealed notable changes in author coupling, including reversal of PPIs in some journals, which can be interpreted as proof of changes in their author groups. The RAI analysis, which measured the degree of journals’ attractiveness to Korean LIS researchers and author sharing between two journals, illustrated the journals’ states in a domain; this result can help find both an isolated journal and strongly bonded journals in the specific domain. Journal coupling with common authors introduced in this study proved to be an effective investigative method for illustrating journals’ states in a specified domain as well as a multidisciplinary area.

초록

본 연구의 목적은 국내 디지털 도서관 관련된 연구의 동향을 분석하는 것이다. 연구의 목적을 달성하기 위하여 국내 문헌정보학 분야 대표 학술지 4종으로부터 최근 10년(2007년-2016년) 동안 발표된 디지털 도서관 관련 논문 272편을 대상으로 해당 논문의 저자가 직접 부여한 영문키워드 578개를 수집하였다. 수집된 자료는 NetMiner V.4를 사용하여 연결중심성과 매개중심성을 분석하였다. 연구 결과로는, 첫째, 연구 주제의 양적인 측면에서는 ‘Academic Library’, ‘Reference Service’, ‘Public Library’, ‘E Resource’, ‘E Book’ 순으로 나타났고, 둘째, 연구 주제의 영향력 측면에서는, ‘Academic Library’, ‘Reference Service’, ‘Information Behavior’, ‘E Resource’ 등의 순으로 나타났다. 마지막으로 연구 주제의 확장성 측면에서는, ‘Academic Library’, ‘Metadata’, ‘Information Behavior’, ‘E Resource’, ‘Librarian’ 등의 순으로 파악되었다.

Abstract

The aim of this study was to analyze the research trends on the digital libraries in Korea. To achieve this objective, a total of 578 author-assigned English keywords were collected from the 272 major LIS journal articles published in Korea during last ten years-period, i.e., 2007-2016. The collected data were analyzed using NetMiner V.4 to discover their ‘degree centrality’ and ‘betweenness centrality’. As the results, ‘Academic Library’, ‘Reference Service’, ‘Public Library’, ‘E Resource’, and ‘E Book’ showed the most frequently conducted research topics, and ‘Academic Library’, ‘Reference Service’, ‘Information Behavior’, and ‘E Resource’ were the most influencing research topics. Finally, ‘Academic Library’, ‘Metadata’, ‘Information Behavior’, ‘E Resource’, and ‘Librarian’ seemed the most widely intervening research topics in this research.