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1.
《Library & information science research》2021,43(4):101124
Methodological transparency facilitates rigorous, trustworthy, and reliable mixed methods research (MMR). Because divergent views on the conceptualization of mixed methods can create confusion for researchers, methodological transparency can help researchers to replicate methods in other studies and attract them to mixed methods research. Many studies have been conducted to assess the utilization of mixed methods research in several disciplines, but few in library and information science (LIS) have studied how authors describe the methods used. This study investigated the clarity and detail provided about methodology in mixed methods research articles in LIS, focusing on South Africa and Nigeria. Content analysis was used to assess 104 doctoral theses, of which 10 used mixed methods. Results suggest that methodological transparency in MMR research is underrepresented in LIS. This study contributes to the discussion on how LIS can enhance the quality of mixed methods research studies by underscoring the importance of methodological transparency in such studies. Researchers and LIS educators can use the gaps identified by this study to use and report mixed methods appropriately in future research. 相似文献
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《Library & information science research》2019,41(3):100966
Research designs are key to the research process and the production of knowledge that supports performance and development. The appropriateness of the methodologies used in research has implications for the trustworthiness and validity of the outcomes of research and practice. The research designs used in library information science (LIS) research in Nigeria and South Africa between 2009 and 2015 were investigated. The objective was to map out the contours of the research designs that are utilised in LIS, particularly to keep the profession abreast of the trends in the field and the patterns in research designs used. Qualitative content analysis was used to examine 104 PhD dissertations, using six taxonomies to categorise research designs used in the two countries. Positivist epistemologies and quantitative methodologies predominated research in LIS. A handful of studies used basic mixed method research designs. Questionnaires and interviews were commonly used for data collection, but the triangulation of methods was not prevalent. The value of this study lies in that it will lead to the accumulation of knowledge of research designs and provide a baseline for studies on methodological practices. 相似文献
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Mike Thelwall Carol Bailey Meiko Makita Pardeep Sud Devika P. Madalli 《Journal of Informetrics》2019,13(1):118-131
Women’s access to academic careers has been historically limited by discrimination and cultural constraints. Comprehensive information about gender inequality within disciplines is needed to understand the problem and target remedial action. India is the fifth largest research producer but has a low international index of gender inequality and so is an important case. This study assesses gender inequalities in Indian journal article publishing in 2017 for 186 research fields. It also seeks overall gender differences in interests across academia by comparing the terms used in 27,710 articles with an Indian male or female first author. The data show that there are at least 1.5 male first authors per female first author in each of 26 broad fields and 2.8 male first authors per female first author overall. Compared to the USA, India has a much lower share of female first authors but smaller variations in gender differences between broad fields. Dentistry, Economics and Maths are all more female in India, but Veterinary is much less female than in the USA. There is a tendency for males to research thing-oriented topics and for females to research helping people and some life science topics. More initiatives to promote gender equality in science are needed to address the overall imbalance, but care should be taken to avoid creating the larger between-field gender differences found in the USA. 相似文献
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《Journal of Informetrics》2022,16(2):101284
In competitive research environments, scholars have a natural interest to maximize the prestige associated with their scientific work. In order to identify factors that might help them address this goal more effectively, the scientometric literature has tried to link linguistic and meta characteristics of academic papers to the associated degree of scientific prestige, conceptualized as cumulative citation counts. In this paper, we take an alternative approach that instead understands scientific prestige in terms of the rankings of the journals that the articles appeared in, as such rankings are routinely used as surrogate research quality indicators. For the purpose of determining the most important drivers of suchlike prestige, we use state-of-the-art text mining tools to extract 344 interpretable features from a large corpus of over 200,000 journal articles in economics. We then estimate beta regression models to investigate the relationship between these predictors and a cross-sectionally standardized version of SCImago Journal Rank (SJR) in multiple topically homogeneous clusters. In so doing, we also reinvestigate the bafflegab theory, according to which more prestigious research papers tend to be less readable, in a methodologically novel way. Our results show the consistently most informative predictors to be associated with the length of the paper, the span of coreference chains in its full text, the deployment of a personal and moderately informal writing style, the “density” of the article in terms of sentences per page, international and institutional collaboration in research teams and the references cited in the paper. Moreover, we identify various linguistic intricacies that matter in the association between readability and scientific prestige, which suggest this relationship to be more complicated than previously assumed. 相似文献
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Scientific research is increasingly relying on collaborations to address complex real-world problems. Many researchers, policymakers, and administrators consider a multidisciplinary environment an important factor for fostering research collaborations, especially interdisciplinary ones that involve researchers from different disciplines. However, it remains unknown whether a higher level of multidisciplinarity within an academic institution is associated with internal collaborations that are more prevalent and more interdisciplinary. Analyzing 90,000 publications by 2500 faculty members in over 100 academic institutions from three multidisciplinary areas, information, public policy, and neuroscience, we investigated the connection between multidisciplinarity and research collaborations. Based on social network analysis and text mining, our analysis suggests that more multidisciplinary institutions are not necessarily more collaborative, although they do feature collaborations that are more interdisciplinary. Our findings provide implications for academic administrators and policymakers to promote research collaborations and interdisciplinarity in academic institutions. 相似文献
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The study explores the publication trends of scholarly journal articles in two core Library and Information Science (LIS) journals indexed under ScienceDirect Database during the period for the period 2000–2010, and for the “Top 25 Hottest Papers” for 2006–2010. It examines and presents an analysis of 1000 research papers in the area of LIS published in two journals: The International Information & Library Review (IILR) and Library & Information Science Research (LISR). The study examines the content of the journals, including growth of the literature, authorship patterns, geographical distributions of authors, distribution of papers by journal, citation pattern, ranking pattern, length of articles, and most cited authors. Collaboration was calculated using Subramanyam's formula, and Lotka's law was used to identify authors' productivity. The results indicated that authors' distributions did not follow Lotka's law. The study identified the eight most productive authors with a high of 19 publications in this field. The findings indicate that these publications experienced rapid and exponential growth in literature production. The contributions by scientists from India are examined. 相似文献
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This paper examines the structural patterns of networks of internationally co-authored SCI papers in the domain of research driven by big data and provides an empirical analysis of semantic patterns of paper titles. The results based on data collected from the DVD version of the 2011 SCI database identify the U.S. as the most central country, followed by the U.K., Germany, France, Italy, Australia, the Netherlands, Canada, and Spain, in that order. However, some countries (e.g., Portugal) with low degree centrality occupied relatively central positions in terms of betweenness centrality. The results of the semantic network analysis suggest that internationally co-authored papers tend to focus on primary technologies, particularly in terms of programming and related database issues. The results show that a combination of words and locations can provide a richer representation of an emerging field of science than the sum of the two separate representations. 相似文献
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Grant MJ 《Health information and libraries journal》2004,21(1):21-32
The objective was to gain an overview of researchers experiences of searching the literature, with particular reference to the use of optimal search strategies (OSSs) and searching for qualitative research studies. A 13-item semi-structured questionnaire investigating search behaviour was distributed to members of the Cochrane Qualitative Methods Network. Follow-up interviews were conducted with a subset of respondents to explore issues raised and clarify points of ambiguity. Findings were analysed using data reduction, data displays and verification techniques. Eighty-six per cent of distributed questionnaires were returned. All respondents reported searching electronic databases as part of their literature search, with 80% expressing a preference for searching alone or with colleagues. Forty-one per cent indicated that they consider a database search to be only one aspect of a comprehensive literature search. The rigour and availability of OSSs was a concern for 30% of respondents. Twenty-five per cent of respondents had searched for qualitative studies, although the difficulty of locating this type of literature was considered problematic because of the varied use of the term 'qualitative'. Whilst the majority of respondents reported using OSSs in some capacity, reservations were expressed about their ability to facilitate a comprehensive search. Replies indicated a belief that OSSs can reduce the sensitivity of a search, and might limit the breadth of coverage required. A greater appreciation of the availability and purpose of OSSs-including the ability to optimize either sensitivity or recall-is needed if this enhanced approach to accurate data retrieval and potential improvement in time management is to become widespread. 相似文献
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《The Journal of Academic Librarianship》2022,48(4):102535
The aim of this study was to examine the interdisciplinarity of research data in the science, technology, engineering, and mathematics (STEM) fields. The findings revealed that interdisciplinarity was not distributed evenly across journals serving the STEM fields. Based on the diversity of the references as measured by the Gini coefficient index, the mathematical sciences showed the greatest inequality, followed by astronomy/physics, the earth sciences, the biological sciences, and technology. Based on the number of Essential Science Indicator (ESI) fields, the biological sciences showed the greatest variety, followed by the earth sciences, technology, the mathematical sciences, chemistry, and computing, while engineering showed no variety. Lastly, based on the Leydesdorff interdisciplinarity formula outcomes, the earth sciences showed the greatest diversity, but earth sciences articles were cited in articles in fewer fields than biological sciences articles. This study contributes to the study of interdisciplinary data citation for data sharing and reuse in STEM fields with respect to the measurement of the balance, variety, and diversity of research data. 相似文献
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Electronic Governance (EGOV) research studies the use of Information and Communication Technologies to improve governance processes. Sustainable Development (SD) research studies possible development routes that satisfy the needs of the present generation without compromising the ability of the future generations to meet their own needs. Despite substantial progress in advancing both domains independently, little research exists at their intersection — how to utilize EGOV in support of SD. We call this intersection Electronic Governance for Sustainable Development (EGOV4SD). This paper: 1) proposes a conceptual framework for EGOV4SD, 2) proposes EGOV4SD research assessment framework and 3) applies both frameworks to determine the state of EGOV4SD research. The main contribution of the paper is establishing a foundation for EGOV4SD research. 相似文献
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The Center for Science and Technology Studies at Leiden University advocates the use of specific normalizations for assessing research performance with reference to a world average. The Journal Citation Score (JCS) and Field Citation Score (FCS) are averaged for the research group or individual researcher under study, and then these values are used as denominators of the (mean) Citations per publication (CPP). Thus, this normalization is based on dividing two averages. This procedure only generates a legitimate indicator in the case of underlying normal distributions. Given the skewed distributions under study, one should average the observed versus expected values which are to be divided first for each publication. We show the effects of the Leiden normalization for a recent evaluation where we happened to have access to the underlying data. 相似文献
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Isabelle Bauman 《Communication Studies》2013,64(2):127-129
This essay is a review of four projects that use meta‐analysis to summarize existing research on four behavioral issues for HIV/AIDS education and prevention. The first project considers the importance of behavioral routines to promote safer sex behavior and the need to consider how the gender of the participant impact on those discussions. The second project examines four issues (disclosure, social support, risk behavior, and childbearing) for those testing positive for HIV. The third project examines the impact that the announcement of Earvin “Magic”; Johnson on behaviors and attitudes of adults and children. The final project examines the difference in knowledge for one subgroup of U.S. society (Hispanics) compared to either White European or African Americans. The summaries of ongoing projects illustrate the importance of meta‐analysis as a means to aggregate existing research. 相似文献
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This article reports on a survey of archivists from 20 provinces and municipalities in China to investigate their professional skills and knowledge needs. It analyzes their responses concerning the educational advantages and disadvantages archivists face and the relationship between their skill levels and knowledge needs. In conclusion, it points to several solutions to these problems: preprofessional curriculum design better addressing actual archivists?? needs, increasing continuing education to address archivists?? needs to maintain professional skills, and archivists?? desire for custom-built training to specific technical requirements. 相似文献
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《Journal of Informetrics》2014,8(4):895-903
Today, it is not clear how the impact of research on other areas of society than science should be measured. While peer review and bibliometrics have become standard methods for measuring the impact of research in science, there is not yet an accepted framework within which to measure societal impact. Alternative metrics (called altmetrics to distinguish them from bibliometrics) are considered an interesting option for assessing the societal impact of research, as they offer new ways to measure (public) engagement with research output. Altmetrics is a term to describe web-based metrics for the impact of publications and other scholarly material by using data from social media platforms (e.g. Twitter or Mendeley). This overview of studies explores the potential of altmetrics for measuring societal impact. It deals with the definition and classification of altmetrics. Furthermore, their benefits and disadvantages for measuring impact are discussed. 相似文献
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The study explores the characteristics of China's independent research articles published from 1980 to 2011, based on the database of Science Citation Index Expanded. The publication outputs of seven major industrialized countries including Canada, France, Japan, Germany, Italy, the UK, and the USA were compared with China. Annual production, field performance, research emphases and trends, top articles, as well as main institutional and individual contributors by its top cited articles were analyzed. Some newly developed indicators related to words in title, author keywords, KeyWords Plus, first author, corresponding author, and Y-index were employed to provide in-depth information on topic and author contributions. Results showed that China has been closing the gap with the USA with the greatest growth, and has stood the second since 2006. Most top cited articles were published in 2000s, made up approximately seven tenths of total articles. Pronounced activities were found in chemistry and physics related categories. The core categories included multidisciplinary chemistry, physical chemistry, multidisciplinary materials science, and applied physics. Moreover, China's performance of nanotechnology and science, especially carbon nanotubes, nanoparticles, nanowires, and nanostructures showed dramatic growth. Six top articles with at least 1000 citations were examined, and were observed to concern medicine, nanotube, and adsorption. In addition, main contributing institutions and authors were also revealed and evaluated. Chinese Academy of Sciences played a dominant role, and Tsinghua University, Peking University and five universities in Hong Kong showed good scientific performance. 相似文献
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Basic research is the main powerhouse of a country’s potential for continuous economic growth, and national-level scientific research funding is an important source of capital that supports this basic research. Given these observations, this paper takes micro-level data from projects funded by the Department of Management Sciences in the National Natural Science Foundation of China between 2006 and 2010 to examine the relationship between the efficient use of research funding and the level of concentrated funding in certain research institutions. In contrast to the positive externalities produced by the concentration of R&D activities, our study finds that the accumulation of scientific research funding at the institution level is negative correlated with the knowledge output of the principal investigators of projects within the research institution. We explore the sources of the negative correlation and discuss some policy implications. 相似文献
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The conceptual connections between scientific grants and publications are important, yet often overlooked in quantitative studies of science. An analysis of such connections could offer important insights into how science is conducted by individual researchers and research teams under the social and economic conditions of science. This study aims to offer the first piece of evidence towards this endeavor by analyzing the ratio of keyword matchedness between accepted NIH research grants from 2008 to 2015 and their funded publications. By applying linear regression method, we identified and examined three identified predictors of the outcome: 1) the funding rate of an NIH research program in a specific year, 2) the year difference between grant and publication, and 3) the funding size of a grant. Our findings suggest that these three factors contribute to the outcome in different capacities. Moreover, all of them may have different performances in individual funding programs, which highlights the importance of understanding the differences among individual funding mechanisms. 相似文献
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《Journal of Informetrics》2020,14(4):101068
In the previous literature, no clear conclusions have been reached about the effect of gender differences on research performance (RP) in science, as measured by publication productivity, number of citations, and academic awards. Meanwhile, a gap also exists in the research regarding gender differences in international academic collaboration. To complement the existing literature, this study investigated the achievements of scientists engaged in international academic collaboration, which places heavy demands on language and communication skills and in which female scientists appear to have more advantages than male scientists. We investigated the effect of international collaboration carried out by chemists from China’s Project 985 universities and the Chinese Academy of Sciences and compared the extent to which the international collaboration improved female and male scientists’ academic performance. The results indicated that, compared to male scientists, female scientists performed better and significantly improved their academic performance through international collaboration. This conclusion was valid for different periods throughout chemists’ academic careers. The policy implications are discussed at the end of this study. 相似文献