Journal of Information Processing and Management
Online ISSN : 1347-1597
Print ISSN : 0021-7298
ISSN-L : 0021-7298
Volume 58, Issue 9
Displaying 1-13 of 13 articles from this issue
Article
  • Hiroko KIHIRA
    2015 Volume 58 Issue 9 Pages 657-665
    Published: December 01, 2015
    Released on J-STAGE: December 01, 2015
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    The ICU Library has been providing user education programs to promote the active use of the library materials and services since the 1970s. In recent years, its support service has been diversified by providing different programs for different targeted groups of users in terms of the content and difficulty. This article gives an overview of those programs, dividing them into two types; "face-to-face user education" such as lectures and courses and "online user education" such as resource guides and pathfinders.
  • Takashi INOUE, Takaharu OSADA, Shun ISHIZAKI
    2015 Volume 58 Issue 9 Pages 666-672
    Published: December 01, 2015
    Released on J-STAGE: December 01, 2015
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    The International Organization for Standardization (ISO) TC 37 has been engaged in establishing international standards related to translation and interpreting as well as terminology and language resources. The recently published ISO 17100 standard specifies requirements for translation service providers to assure the quality of their translation outcome. The basic idea is to perform a translation task as a project to be implemented according to a specification under appropriate project management. The present article describes the outline of the standard and briefly discusses possible problems in the implementation of the standard in Japan, including different situations of the translation business in Europe and Japan.
  • Ui IKEUCHI
    2015 Volume 58 Issue 9 Pages 673-682
    Published: December 01, 2015
    Released on J-STAGE: December 01, 2015
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    Research data sharing across disciplines and borders has been rapidly expanding around the world. This paper presents an overview of the comprehensive activities being conducted on the sharing of biological data as an advanced case. The attempts to integrate cross-interdisciplinary data for innovation, and the data citation activities that have led to the establishment of research data sharing incentives are elucidated. Then, using Thomson Reuters' Data Citation Index (DCI) and re3data.org (registry of research data repositories), the author investigates Japan's contribution. The results showed that approximately 62,000 records (4.3%) in the DCI, are contributed by Japanese institutions. The primary subject areas of Japanese research data are, in descending order, Biochemistry and Molecular Biology, Genetics Heredity, and Spectroscopy. According to re3data.org, institutions in Japan run 43 repositories, some of which collaborate with other countries, and 10 of which are certificated by re3data.org. To further utilize and access shared data, it is important for institutions to meet repository certification standards and improve interoperability.
  • Tsukasa KIMEZAWA
    2015 Volume 58 Issue 9 Pages 683-693
    Published: December 01, 2015
    Released on J-STAGE: December 01, 2015
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    National Diet Library (NDL) launched "Digital Library from the Meiji Era" as the system which distributed the digitized books on the Internet in 2002. NDL has been digitizing the books and magazines continuously since then and collecting digitized materials from other institutions. In addition to digitized materials, NDL began to collect "Online publications" (electronic books and electronic magazines) from the Internet in 2013. To collect, preserve and distribute these various kinds of many materials, NDL launched "National Diet Library Digital Collections" in 2011. This paper considers the current status and difficulties for a long-term preservation in the "National Diet Library Digital Collection" from the viewpoint of functional requirement of the OAIS reference model, describing the background and history of the system development.
  • Shino IWAMI
    2015 Volume 58 Issue 9 Pages 694-700
    Published: December 01, 2015
    Released on J-STAGE: December 01, 2015
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    For the purpose of making science and technology strategies, there are current trends to use objective evidences with a large number of data in the world. In this work, I performed a methodology to analyze citation networks of academic papers and build a concept to encourage researches or withdraw from academic fields. I analyzed a dataset consisting of the top 1% cited papers in each 2007-2014. Emerging academic fields are identified based on the average published year of each field, and 5 fields including Japanese papers are detected. I suggest how to evaluate researches with their quality, quantity and newness.
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