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Quality scholarly research outputs, such as peer reviewed journal articles published in reputable journals, are essential for early career researchers' (ECRs) vocational success while also offering benefits for their institutions. Research outputs destined for audiences beyond academia are also increasingly valued by funders, end users, and tertiary institutions. While there is an expectation that ECRs may create diverse research outputs for an array of audiences, the kinds of research output texts produced by ECRs for varied audiences warrants further investigation. In addition, the routes of dissemination that ECRs use to share their academic research outputs to secure impact beyond academia are not well understood. Drawing on semi‐structured interviews of 30 respondents in Australia and Japan, we explore the research‐sharing practices of ECRs, finding that ECRs may potentially create a wide range of research‐informed texts for end users beyond academia, using an array of methods for dissemination. The examples of the output text types and dissemination routes we provide in this paper can be used to inspire ECRs and also more senior academics to share their research more broadly, and perhaps more effectively, and can be used by publishers to improve research impact and support ECRs' research translation. 相似文献
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Carol Tenopir Suzie Allard Lisa Christian Robert Anderson Suzan Ali‐Saleh Dave Nicholas Anthony Watkinson Hazel Woodward 《Learned Publishing》2017,30(1):5-17
The sharing of scholarly articles is an intrinsic and often ignored facet of the value and mission of scholarship. It is so entwined in the daily work life of scholars that it has almost become second nature, an integral part of the research process itself. This article addresses this often overlooked area of research in usage studies. In an international survey of 1,000 published scholars, the Beyond Downloads project examined their sharing behaviours in order to gain a more contextualized and accurate picture of their usage beyond download patterns and citation counts. Scholars share published articles with others as a mode of content discovery and dissemination, particularly if they work in groups, and most expect to increase their sharing in the future. While their methods of sharing articles may change, and their reasons for sharing may vary from self‐promotion to the more altruistic motives of scientific progress, they desire to share the final published versions of articles with their colleagues. 相似文献
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Don MacMillan 《The Journal of Academic Librarianship》2014,40(5):541-549
Drawing from the literatures of science, scholarly communication, and librarianship, this review paper describes what librarians need to know about how scientists manage and share their data. It is intended to help librarians become more engaged and integral partners in research and education. Scientific data repositories, journal data deposition policies, and the development of persistent linking between scholarly publications and data sets, have made data more accessible. However, deposition and sharing practices still vary among researchers, journal publishers, data repositories, information providers, and universities. Understanding the dynamic relationships between these stakeholders is critical to providing relevant support to researchers and students in the sciences. Librarians need to develop skills that bridge traditional liaison work with the increasingly data-driven demands of scientific research, so that we can support researchers with their data management needs and help users discover data across myriad collections and resources. 相似文献
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科技计划项目数据汇交政策是保证科学数据有序汇交的前提。在调研国外科技计划项目管理机构、学术期
刊机构、相关数据组织等三类机构的现有数据汇交政策,并对比美国自然科学基金会（NSF）与我国科技部国家重点基
础研究发展计划（973 计划）资源环境领域项目数据汇交的政策差异的基础上,指出国外科技计划项目数据汇交在数据
汇交政策制定、数据质量控制、数据产权保护、数据共享服务等6 个方面对我国的启示。 相似文献
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数据出版是近几年由出版界和数据共享界共同提出的新概念,在国际上发展迅速,对知识管理和数据共享
具有革命性的作用。文章从数据共享的角度提出科学数据出版是一种全新的数据共享模式,对数据共享具有重要作
用,是一种科学数据资源争夺的重要工具及大数据研究的基础,能够解决数据共享面临的知识产权问题,完善数据共
享中的责权利纠纷,从而促进数据共享从被动走向自发。在此基础上,提出我国数据出版发展战略,提出数据出版与
我国现有的数据共享体系互为补充,国家数据共享体系应加强基础设施建设,为数据出版提供长期永久的数据存储环
境 相似文献
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《Library & information science research》2023,45(2):101233
Knowledge sharing plays a fundamental role in the mobile social media context. However, users are more likely to believe that their knowledge sharing is not worth the effort and time given high expectation of receiving some value in return. Social media have limited value if users are not willing to share knowledge. Knowledge sharing with the consideration of transactive memory system (TMS) from the perspectives of social capital and task visibility was examined. Building on prior theories and literature, a TMS knowledge sharing research model was developed. Data were collected from users of social media mobile apps. Results show that TMS is a valid second-order construct. From the social capital perspective, cognitive capital, relational capital and structural capital each have positive effects on TMS which further has a positive effect on knowledge sharing. From the task visibility perspective, knowledge sharing visibility has a positive effect on knowledge sharing. 相似文献
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《Behavioral & Social Sciences Librarian》2013,32(2-3):1-19
Certain characteristics of the journal literature of sociology were studied for what they would reveal about the structure of research in the discipline. Articles in three key sociology journals for the years 1968 and 1978 were examined for the kinds of data used to forward their research hypotheses or principal theses. A significant difference is found between categories of data used in 1968 and 1978 articles. The trend is toward greater proportions of studies which use numerical or other statistically manipulatable data. Other aspects examined by the study include: when data were collected in relation to a study's being published, which kinds of studies have received funding, which kinds of studies have single rather than multiple authorship, and which kinds of studies tend to be the subject of papers read at professional meetings. Results are discussed in terms of their implications for libraries. 相似文献
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Dean Hendrix 《Journal of the Medical Library Association》2008,96(4):324-334
Objective:
The objective of this study was to analyze bibliometric data from ISI, National Institutes of Health (NIH)–funding data, and faculty size information for Association of American Medical Colleges (AAMC) member schools during 1997 to 2007 to assess research productivity and impact.Methods:
This study gathered and synthesized 10 metrics for almost all AAMC medical schools (n = 123): (1) total number of published articles per medical school, (2) total number of citations to published articles per medical school, (3) average number of citations per article, (4) institutional impact indices, (5) institutional percentages of articles with zero citations, (6) annual average number of faculty per medical school, (7) total amount of NIH funding per medical school, (8) average amount of NIH grant money awarded per faculty member, (9) average number of articles per faculty member, and (10) average number of citations per faculty member. Using principal components analysis, the author calculated the relationships between measures, if they existed.Results:
Principal components analysis revealed 3 major clusters of variables that accounted for 91% of the total variance: (1) institutional research productivity, (2) research influence or impact, and (3) individual faculty research productivity. Depending on the variables in each cluster, medical school research may be appropriately evaluated in a more nuanced way. Significant correlations exist between extracted factors, indicating an interrelatedness of all variables. Total NIH funding may relate more strongly to the quality of the research than the quantity of the research. The elimination of medical schools with outliers in 1 or more indicators (n = 20) altered the analysis considerably.Conclusions:
Though popular, ordinal rankings cannot adequately describe the multidimensional nature of a medical school''s research productivity and impact. This study provides statistics that can be used in conjunction with other sound methodologies to provide a more authentic view of a medical school''s research. The large variance of the collected data suggests that refining bibliometric data by discipline, peer groups, or journal information may provide a more precise assessment.Highlights
- Principal components analysis discovered three clusters of variables: (1) institutional research productivity, (2) research influence or impact, and (3) individual faculty research productivity.
- The associations between size-independent measures (e.g., average number of citations/article) were more significant than associations between size-independent bibliometric measures and size-dependent (e.g., number of faculty) bibliometric measures and vice versa, except in the case of total National Institutes of Health (NIH) funding.
- The factor coefficients, or loadings, for total NIH funding may associate more with the quality of research rather than the quantity of research.
- The removal of twenty outliers, fourteen highly productive or influential medical schools and six medical schools with relatively low research profiles, changed the results of the analysis significantly.
- This study''s broad institutional bibliometric data sets cannot be extrapolated to specific departments at the studied medical schools.
Implications
- Librarians, administrators, and faculty should use several methodologies in tandem with bibliometric data when evaluating institutions'' research impact and productivity.
- Health sciences librarians should not make use of university rankings materials lacking strong methodological foundations.
- This study''s bibliometric data may provide a starting point or point of comparison for future assessments.
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Surveys were carried out to learn more about authors and open access publishing. Awareness of open access journals among those who had not published in them was quite high; awareness of ‘self‐archiving’ was less. For open access journal authors the most important reason for publishing in that way was the principle of free access; their main concerns were grants and impact. Authors who had not published in an open access journal attributed that to unfamiliarity with such journals. Forty per cent of authors have self‐archived their traditional journal articles and almost twice as many say they would do so if required to. 相似文献
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Do academic journals favor authors who share their institutional affiliation? To answer this question we examine citation counts, as a proxy for paper quality, for articles published in four leading international relations journals during the years 2000–2015. We compare citation counts for articles written by “in-group members” (authors affiliated with the journal’s publishing institution) versus “out-group members” (authors not affiliated with that institution). Articles written by in-group authors received 18% to 49% fewer Web of Science citations when published in their home journal (International Security or World Politics) vs. an unaffiliated journal, compared to out-group authors. These results are mainly driven by authors who received their PhDs from Harvard or MIT. The findings show evidence of a bias within some journals towards publishing papers by faculty from their home institution, at the expense of paper quality. 相似文献
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针对《陆军军医大学学报》近期发现的4起同一稿件不同单位不同作者多次投稿行为(一稿多卖)进行分析,并追踪其2017年10―12月来稿中代投论文退稿后的发表情况。结果显示,截至2022年8月,93篇代投论文退稿后在CNKI数据库中能检索到有41篇正式发表,其中有6篇发表论文署名作者及单位与退稿稿件署名不同,提示存在一稿多卖。医学期刊编辑应重视对此类稿件的甄别和审查,注意辨别稿件的真实性;建立医学期刊学术诚信平台,鼓励论文数据共享;加强对作者的教育和警示;建议国家制定对第三方中介的惩处政策,严格防范第三方买卖论文的学术失信行为。 相似文献
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科研资助机构作为科学共享领域重要的利益相关者,其所制定的共享政策对促进科学数据的共享具有重
要作用。为了全面了解科技资助机构制定的数据共享政策所应涵盖的内容且更有效地促进科学数据的共享,文章以
BBSRC的数据共享政策为研究对象,阐述了政策内容,与NIH的数据共享政策进行了对比分析,对我国科研资助机构
制定数据共享政策提出建议。 相似文献
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[目的/意义] 长效文献是指出版多年后仍然被连续多年引用,或者引用频次相对较高的文献,研究这部分老化较慢的长效文献的影响力,有助于完整评价文献整个生命周期的价值。[方法/过程] 选取CSSCI数据库来源期刊（2016-2017）中九个学科在2012年-2016年间出版期刊文献的引文年代数据,通过共时观察法进行科学文献老化情况和长效文献分析的研究。[结果/结论] 期刊中引文年代较为久远的引用量来自于大量的低频次被引用的文献集合。长效文献数量较少,可分为3种类型：成长型、成熟型和衰退型,3种类型的长效文献会随着时间推移产生一定转化。具有长效文献较多的期刊未必影响因子高,除心理学学科外,其他每个学科都有且仅有一本具有显著长效影响力的期刊。长效文献的关键词与当前学科研究热点相似,但是长效文献的追溯年代更久远,在反映当前学科热点来源的同时,对未来学科热点预测将发挥作用。 相似文献
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近3年国际科学数据共享领域新进展 总被引：4，自引：2，他引：2
[目的/意义]研究国际科学数据共享领域的新进展,以把握科学数据共享所带来的机遇,为我国大数据战略下更好地开展科学数据共享工作提供借鉴。[方法/过程]跟踪2013年至今世界重要的政府机构、科学研究及资助机构、图书馆、出版机构、数据库商等在科学数据共享领域的重要战略决策、报告、项目和最新动态消息,对国际不同领域科学数据共享的实践动向和特点进行归纳和总结。[结果/结论]科学数据共享已经引起国际上多个领域的广泛关注,其实践进展呈现鲜明特点:跨界合作显著,大力资助和支持,将其提升到战略高度;针对科研人员对其认可度不高的问题,多个领域已做出巨大努力。我国可借鉴国际科学数据共享的良好经验。 相似文献
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Zhigang Hu Wencan Tian Shenmeng Xu Chunbo Zhang Xianwen Wang 《Journal of Informetrics》2018,12(4):1133-1145
InCites Essential Science Indicators is becoming increasingly used to identify top-performing research and evaluate the impact of institutes. Unfortunately, our study shows that ESI indicators, as well as other normalized citation indicators, have the following flaws. First, the publication month and the online-to-print delay affect a paper’s probability of becoming a Highly Cited Paper (HCP). Papers published in the earlier months of the year are more likely to accumulate enough citation counts to rank at the top 1% compared with those published in later months of the year. Papers with longer online-to-print delays have an apparent advantage for being selected as HCPs. Research field normalizations lead to the third pitfall. Different research fields have different citation thresholds for HCPs, making research field classification important for a journal. In addition, the uniform thresholds for both articles and reviews in ESI affect the reliability of HCP selection because, on average, reviews tend to have higher citation rates than articles. ESI’s selection of HCPs provides an intuitive feel for the problems of normalized citation impact indicators, such as those provided in InCites and SciVal. 相似文献