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Ranking the Research Productivity of LIS Faculty and Schools: An Evaluation of Data Sources and Research Methods

机译:LIS院系研究生产力的排名:数据来源和研究方法的评估

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摘要

This study evaluates the data sources and research methods used in earlier studies to rank the research productivity of Library and Information Science (LIS) faculty and schools. In doing so, the study identifies both tools and methods that generate more accurate publication count rankings as well as databases that should be taken into consideration when conducting comprehensive searches in the literature for research and curricular needs. With a list of 2,625 items published between 1982 and 2002 by 68 faculty members of 18 American Library Associationâ (ALA-) accredited LIS schools, hundreds of databases were searched. Results show that there are only 10 databases that provide significant coverage of the LIS indexed literature. Results also show that restricting the data sources to one, two, or even three databases leads to inaccurate rankings and erroneous conclusions. Because no database provides comprehensive coverage of the LIS literature, researchers must rely on a wide range of disciplinary and multidisciplinary databases for ranking and other research purposes. The study answers such questions as the following: Is the Association of Library and Information Science Educationâ s (ALISEâ s) directory of members a reliable tool to identify a complete list of faculty members at LIS schools? How many and which databases are needed in a multifile search to arrive at accurate publication count rankings? What coverage will be achieved using a certain number of databases? Which research areas are well covered by which databases? What alternative methods and tools are available to supplement gaps among databases? Did coverage performance of databases change over time? What counting method should be used when determining what and how many items each LIS faculty and school has published? The authors recommend advanced analysis of research productivity to provide a more detailed assessment of research productivity of authors and programs.
机译:本研究评估了早期研究中使用的数据源和研究方法,以对图书馆和信息科学(LIS)教职员工和学校的研究生产力进行排名。通过这样做,研究确定了产生更准确的出版物计数排名的工具和方法,以及在进行文献检索以进行研究和课程需求时应考虑的数据库。 1982年至2002年间,由18家美国图书馆协会(ALA-)认可的LIS学校的68名教职员工发布了2,625份清单,搜索了数百个数据库。结果表明,只有10个数据库可以很好地覆盖LIS索引文献。结果还表明,将数据源限制在一个,两个或什至三个数据库中会导致排名不正确和结论错误。由于没有数据库可以全面涵盖LIS文献,因此研究人员必须依靠广泛的学科和多学科数据库来进行排名和其他研究目的。该研究回答了以下问题:图书馆和信息科学教育协会(ALISE)的成员目录是否是可靠的工具,可用来确定LIS学校教师的完整列表?多文件搜索需要多少个数据库以及哪些数据库才能获得准确的出版物计数排名?使用一定数量的数据库将实现什么覆盖?哪些数据库覆盖了哪些研究领域?有哪些替代方法和工具可以弥补数据库之间的差距?数据库的覆盖范围性能是否随时间变化?确定每个LIS教师和学校发布了哪些项目和多少项目时,应使用哪种计数方法?作者建议对研究生产力进行高级分析,以对作者和程序的研究生产力进行更详细的评估。

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