초록

Abstract

This study aims to investigate the importance of author keyword with analysis the position of author keyword in journal . In the first stage, an analysis was carried out on the position of author keyword. We examined the importance of author keyword by using degree centrality, closeness centrality, betweenness centrality, eigenvector centrality and effective size of structural hole. In the next stage, We performed analysis on correlation between network centrality measures and the position of author keyword. The result of correlation analysis on network centrality measures and the position of author keyword shows that there are the more significant areas of the result of the correlation analysis on degree centrality, betweenness centrality and the position of keyword. In addition, These results show that we need to consider that the possible way as measuring the importance of author keyword in journal is not only a term frequency but also degree centrality and betweenness centrality.

초록

본고는 정보산업 분야 전체를 포괄하는 연계식별자로서 ISNI의 중요성을 인식하여 ISNI의 개념 및 전거제어에서 이의 활용가능성을 모색하고자 하였다. ISNI는 창작, 생산, 관리, 내용 배포의 흐름에서 정보매체 내용산업 전체와 관련된 개인(Party)의 대중개체(Public Identities) 식별을 위한 연계식별자로 전세계 망라적 이름 전거제어를 위해 필요하다. 우선 ISNI의 개념, 목적, 용어, 식별자구조, ISNI 할당원칙, 관리방식, 메타데이터에 대해 조사하였다. 이를 바탕으로 전거제어에서 활용가능성을 모색하였다. 첫째, 국내 협력 전거제어를 위해 ISNI의 개념을 도입하는 것을 고려해야 할 것이다. 국내에 맞는 ISNI 체제인 KISNI를 구축하여 도서관 및 정보산업 분야에서 생산되는 모든 전거데이터를 상호 활용할 수 있도록 할 수 있다. 둘째, 연계식별자인 ISNI를 이용하여 여러 식별자를 연계함으로 링크드데이터 구축이 가능하게 될 것이다. 셋째, 서지레코드 및 전거레코드에 ISNI 식별자를 기술할 수 있도록 KORMARC을 확장해야 할 것이다.

Abstract

This study was to investigate the concept of ISNI and to find its availability in authority control, realizing importance of ISNI as the bridge identifier including all the information media content industries. ISNI is needed for global and comprehensive name authority control as the bridge identifier for the identification of public identities of parties involved throughout the information media content industries in the creation, production, management and content distribution chains. First of all, it was to inquire ISNI concept, goal, terms and definitions, structure and syntax, allocation of ISNI, administration of the ISNI system, and metadata. Next, it was to suggest the applicability of ISNI in authority control. First, it should be needed to consider in applying ISNI for cooperative authority control. It is possible to interactively use the authority data created in library and other information industries area by constructing KISNI system. Second, it is possible to construct linked data by linking various identifier through ISNI identifier as bridge identifier. Third, it is needed to develop KORMARC for describing ISNI identifier in KORMARC bibliographic and authority record.

초록

Abstract

As co-authorship has been prevalent within science communities, counting the credit of co-authors appropriately is an important consideration, particularly in the context of identifying the knowledge structure of fields with author-based analysis. The purpose of this study is to compare the characteristics of co-author credit counting methods by utilizing correlations, multidimensional scaling, and pathfinder networks. To achieve this purpose, this study analyzed a dataset of 2,014 journal articles and 3,892 cited authors from the Journal of the Architectural Institute of Korea: Planning & Design from 2003 to 2008 in the field of Architecture in Korea. In this study, six different methods of crediting co-authors are selected for comparative analyses. These methods are first-author counting (m1), straight full counting (m2), and fractional counting (m3), proportional counting with a total score of 1 (m4), proportional counting with a total score between 1 and 2 (m5), and first-author-weighted fractional counting (m6). As shown in the data analysis, m1 and m2 are found as extreme opposites, since m1 counts only first authors and m2 assigns all co-authors equally with a credit score of 1. With correlation and multidimensional scaling analyses, among five counting methods (from m2 to m6), a group of counting methods including m3, m4, and m5 are found to be relatively similar. When the knowledge structure is visualized with pathfinder network, the knowledge structure networks from different counting methods are differently presented due to the connections of individual links. In addition, the internal validity shows that first-author-weighted fractional counting (m6) might be considered a better method to author clustering. Findings demonstrate that different co-author counting methods influence the network results of knowledge structure and a better counting method is revealed for author clustering.

초록

Abstract

This paper examines the characteristics of the JASIST (Journal of the Association for Information Science and Technology) editorial board members and their research areas through author co-citation analysis, and investigates whether the editorial board members’ research areas are related with keywords frequently appeared in the journal’s research articles. In the process, research areas of the central members and those appeared most frequently as keywords will be identified. Research areas of the 36 members on the JASIST editorial board are collected and categorized to compare with the categorization of keywords extracted from 169 research articles published in JASIST, 2013. The result shows that members with higher centrality in the co-citation network are related with research areas that are also dominant in the distribution of article keywords. The areas include information behavior and searching, information retrieval, information system design, and bibliometrics.

초록

전체 학술지 논문 가운데 오픈액세스(Open Access, OA)가 차지하는 비중은 현재 20%-30%에 이르고 있고, 최근에는 출판 즉시 오픈액세스가 가능한 골드 OA에 대한 관심이 높다. 이 연구는 골드 OA를 출판하기 위한 선결 조건인 ‘논문 처리 수수료(Article Processing Charges, APC)’ 지원에 관한 것으로 연구후원기관과 저자의 재직대학에서 어떠한 정책을 수립하여 실천하고 있는지를 알아보았다. 영국을 비롯한 유럽에서는 수년 동안 연구후원기관의 APC 부담에 관한 타당성 검토와 시범사업을 진행하여 왔고, 현재 본격적으로 시행하고 있는 단계이다. 미국을 비롯한 북미에서는 주요 대학도서관을 중심으로 OA 펀드를 조성하여 APC를 지원하고 있다. 반면에 한국은 연구후원기관과 대학에서 논문의 그린 OA를 추진할 뿐, APC를 지원하여 골드 OA를 출판하는 단계에 이르지 못하고 있다. 주제 분야에 따라 다르지만 국제 학술지에 논문을 출판하는 국내 연구자도 적지 않아 이들의 논문이 골드 OA로 출판된다면 국제적인 파급력은 크게 증진될 전망이다. 이에 국내 연구후원기관과 대학도 골드 OA에 관심을 갖고 OA 전문 학술지와 하이브리드 학술지에서 요구하는 APC를 지원하는 방향으로 정책의 기본 틀을 세우려는 노력을 경주해야 할 것으로 보인다.

Abstract

OA journal publishing has steadily increased its relative share of all scholarly journal articles by about 20%-30%. The ‘Gold’ OA, often preferred by readers, refers to journal articles which are more widely available through the journal’s web site immediately. This study analyzed funder and university’s policy for paying APCs in implementing a Gold OA. In recent years there have been a number of attempts in the UK and Europe to stimulate more systematic arrangements for paying APCs, leading funders have clearly established arrangements in place. Also OA fund made by major universities in North America provides publisher with APCs. On the other hand, it is still in early stages in paying with gold OA requirements from Korean funders and universities. The funders have a ‘Green’ OA policy, such as upload the article accepted version to their online platform. Although it varies by field, many Korean authors are publishing in international journals. Their articles’ impacts would rise when they are published as gold OA. Therefore, funders and universities need to pay attention to gold OA　publishing and set up subsidies for APCs which are required by OA or hybrid journal publishers.

초록

이 연구에서는 계량정보학적 기법을 사용하여 국내 트위터 관련 연구의 동향을 분석하고자 하였다. 이를 위해 KCI에서 검색된 2009년부터 2014년 4월까지의 트위터 관련 논문 539편에서 제목, 초록, 키워드를 추출하여 분석 자료로 삼았다. 프로파일링 기법을 이용해 트위터 관련 연구가 수행된 학문 분야와 저널을 분석하였고, 동시출현단어 분석을 통해 트위터 관련 연구의 세부 주제 영역을 파악하였다. 그 결과, 국내 트위터 관련 연구는 53개 학문분야에서 다양하게 다루어지고 있으며 핵심 분야는 신문방송학, 경영학, 컴퓨터학 분야로 나타났다. 세부 주제로는 선거를 비롯한 정치 관련 이슈가 가장 많이 다루어졌으며, 기업/구매 관련 이슈도 활발히 연구되었음을 확인할 수 있었다.

Abstract

This study explored the research trends on Twitter in Korea by informetric methods. All 539 articles on Twitter published from 2009 to the April of 2014 were obtained from the KCI. Only article titles, abstracts, and keywords by authors were used in analysis. Academic journals in many different disciplines where Twitter articles were produced were analysed by profiling, and then, the subject areas of researches on Twitter were analysed by co-word analysis. The results of this study showed that Twitter-related papers were published in as many as 53 disciplines with journalism, business administration, and computer science to be core fields. It was also found that the core subject areas are political issues and business.