Classification of individual articles from all of science by research level

A system of four research levels, designed to classify scientific journals from most applied to most basic, was introduced by Francis Narin and colleagues in the 1970s. Research levels have been used since that time to characterize research at institutional and departmental levels. Currently, less than half of all articles published are in journals that been classified by research level. There is thus a need for the notion of research level to be extended in a way that all articles can be so classified. This article reports on a new model – trained from title and abstract words and cited references – that classifies individual articles by research level. The model covers all of science, and has been used to classify over 25 million articles from Scopus by research level. The final model and set of classified articles are further characterized.     

Research dynamics: Measuring the continuity and popularity of research topics

Dynamic development is an intrinsic characteristic of research topics. To study this, this paper proposes two sets of topic attributes to examine topic dynamic characteristics: topic continuity and topic popularity. Topic continuity comprises six attributes: steady, concentrating, diluting, sporadic, transforming, and emerging topics; topic popularity comprises three attributes: rising, declining, and fluctuating topics. These attributes are applied to a data set on library and information science publications during the past 11 years (2001–2011). Results show that topics on “web information retrieval”, “citation and bibliometrics”, “system and technology”, and “health science” have the highest average popularity; topics on “h-index”, “online communities”, “data preservation”, “social media”, and “web analysis” are increasingly becoming popular in library and information science.     

A Case Study in Indigenous Classification: Revisiting and Reviving the Brian Deer Scheme

It is a challenge to classify Indigenous knowledge using conventional library classification systems. An interconnected network of information and ideas needs to be classified in a way that adds structure, but also demonstrates relationships and offers some flexibility. Kahnawake librarian Brian Deer developed a classification system that better reflects an Indigenous worldview and the Union of British Columbia Indian Chiefs Resource Centre recently released a new revision of this system. Implementing this new system was a project that produced a model and tools, as well as inspiration that other institutions can use to move toward more culturally appropriate classification.     

Chronology in Cataloging Chinese Archaeological Reports: An Investigation of Cultural Bias in the Library of Congress Classification

This article first examines cultural limitations embedded in the Eurocentric Library of Congress Classification and calls for catalogers' sensitivity to authors' cultural background while cataloging the Bronze China archaeological materials. It then discusses the ambiguity in Library of Congress Subject Headings Manual H1225 and presents a debate on the necessity of including Chinese dynastic information in constructing subject headings through comparing facets extracted from this manual and title patterns of Chinese archaeological reports. Furthermore, this article elaborates the significance of the chronological issue from three different perspectives: Faceted Application of Subject Terminology headings, local library users' need, and next-generation catalogs.     

对《中国图书馆分类法》(第五版)文学类分类问题的探讨——兼与周卫妮老师商榷

分析《<中国图书馆分类法>(第5版)文学大类存在的问题》一文所提出的文学类分类问题,指出其中值得商榷的文学类分类观点,并提出修改意见。     

主题图的概况及应用研究（下篇）——构建基于主题图的金融培训机构知识系统

作为主题图在具体行业领域的开发应用,文章在其上篇“主题图的概况及应用研究”的基础上,介绍基于主题图的金融培训机构知识系统的构建,包括金融行业培训机构的需求分析、基于主题图技术的金融培训机构知识系统的架构设计、系统核心部分的知识分类（文章称作知识地图）的设计与构建,以及结论和展望。     

Predicting research excellence at the individual level: The importance of publication rate,top journal publications,and top 10% publications in the case of early career mathematicians

The purpose of this study was to examine the relationship between publication rate, top journal publications and excellence during the first eight years of the career, and how well publication rate, top journal publications and highly cited publications during the first four years of the career can predict whether an author attain excellence in the fifth to the eighth year. The dataset consisted of publication track records of 406 early career mathematicians in the sub-field of number theory collected from the MathSciNet database. Logistic regression and dominance analysis was applied to the data. The major conclusions were (1) publication rate had a positive effect on excellence during the first eighth years of the career. However, those who publish many articles in top journals, which implicitly require a high publication count, had an even higher probability of attaining excellence. These results suggest that publishing in top journals is very important in the process of attaining excellence in the early career in addition to publishing many papers; and (2) a dominance analysis indicated that the number of top journal publications and highly cited publications during the first four years of the career were the most important predictors of who will attain excellence in the later career. The results are discussed in relation to indicator development and science policy.     

Multivariate approach to classify research institutes according to their outputs: The case of the CSIC's institutes

This paper attempts to build a classification model according to the research products created by those institutes and hence to design specific evaluation processes. Several scientific input/output indicators belonging to 109 research institutes from the Spanish National Research Council (CSIC) were selected. A multidimensional approach was proposed to resume these indicators in various components. A clustering analysis was used to classify the institutes according to their scores with those components (principal component analysis). Moreover, the validity of the a priori classification was tested and the most discriminant variables were detected (linear discriminant analysis). Results show that there are three types of institutes according to their research outputs: Humanistic, Scientific and Technological. It is argue that these differences oblige to design more precise assessment exercises which focus on the particular results of each type of institute. We conclude that this method permits to build more precise research assessment exercises which consider the varied nature of the scientific activity.     

Biomedical innovation at the laboratory, clinical and commercial interface: A new method for mapping research projects, publications and patents in the field of microarrays

Using the example of microarrays, one of the constitutive technologies of post-genomic biomedicine, this paper introduces a method for analyzing publications, patents and research grants as proxies for “triple-helix interfaces” between university, industry and government activities. Our method creates bridges that allow one to move seamlessly between publication, patent and research project databases that use different fields and formats, and contain different information. These links do not require pre-defined categories in order to search for correspondences between sub-topics or research areas in the three databases. Finally, our results are not restricted to quantitative information but, rather, allow one to carry out qualitative investigations of the content of research activities. Our approach draws on a combination of text-mining and network analysis/mapping software packages.     

There Is No View From Nowhere: User Experience Research at the Center of Southwest Studies Library

ABSTRACT

In the fall semester of 2016, Delaney Southwest Research Library at Fort Lewis College researched user experience, particularly of Native American undergraduate students. Results showed that Native American students were more concerned about appropriate terminology, representative content, and effective organization of the library than non-Native students were. This research will help the library improve services through collection evaluation, shelf rearrangement, library instruction, and, potentially, reclassification of Native American materials to improve browsability, house culturally sensitive material respectfully, and increase user satisfaction with our special collections.