Research on the influencing factors framework of data demand management of university scientific researchers北大核心CSSCI

The environment and pattern of scientific research are developing towards digital, open and community-oriented , and influenced by the increasingly diversified data resources and the mature of various methods. All these make the researchers' demand becoming more complicated and deepened. The evolution of scientific research puts forward higher requirement for the data demand management of collegial researchers. We constructed an analytical framework of the influencing factors of data demand management for scientific researchers based on the grounded theory. The interaction of key elements involved in the framework was analyzed , aiming to reveal the influence mechanism of key factors on researchers, data demand management. This research is composed of four parts research problem generation data collection data processing and theory construction. Staged collection method was used in data collection mainly through personal indepth interview and focus group meeting and the data we collected was supplemented and verified by the data and comments in various scientific research platforms. Data standardization and reduction was carried out by the qualitative analysis software Nvivo 12.0 , and the original data was coded in three-level: Open coding , spindle coding and selective coding. The USCT framework we constructed contains 8 main categories: Personal ability characteristic , user perception , personalized service, knowledge service, task context , mobile information context , technology application and technology fit , involving 24 categories and 67 initial concepts. All categories and concepts were generalized into 4 layers: Key layer (user dimension), guarantee layer (service dimension), driven layer (context dimension) and foundation layer (technology dimension). In the subsequent analysis of interactive relationship and internal correlative mechanism between main categories and data demand management we found personal ability characteristic of user personalized service and task context to be the most direct impact factor on data demand management while user perception knowledge service mobile information context technology application and technology fit work in an indirect way. The USCT model framework has several positive effects: 1) it contributes to the construction and perfection of the conceptual system and framework of scientific research data demand management 2 it provides a reliable guiding analysis model for the construction of a science data service platform to promote scientific research and innovation. We innovatively constructed an analysis framework for the influencing factors of data demand management of university researchers. This framework organically integrates " user” (scientific researcher, subject librarian), “services", “context” and “technology” into one system. We attempt to guide and develop the researcher's scientific data needs under their knowledge environment through computer information technology and ultimately guarantee the provision of suitable service. Further demonstration and service practices are needed to verify and perfect the theory. Follow-up studies can take “user-context-service-technology” as the main line for empirical research and explore the external features and internal path mechanisms of data demand management in all domains. 6 figs. 3 tabs. 49 refs. © 2019, Editorial Office of Journal of Library Science in China. All rights reserved.     

Research note: Research in library and information science in a developing country—Nigeria

Factors that inhibit the advancement of research in library and information science in Nigeria include, for instance, the poor dissemination of research findings, noncollaborative research with those in other fields, academic and professional ineptitude, inadequate funding, societal indifference to research, and inefficient use of the knowledge and skills gained from doing research. This article discusses the implications of these shortcomings to the profession and to information services, as well as offers recommendations.     

中国科学院文献情报中心关于举办情报分析研究方法研讨班的通知

情报分析与情报研究是图书情报机构提高自身服务能力的重要体现，是图书情报服务的重要发展方向。2004年9月中国科学院文献情报中心将聘请本中心的学者，面向全国各图书情报机构举办情报分析研究方法研讨班。本班将通过一些图书情报机构多年来情报分析研究的实践，侧重于情报分析与研究方法，讲授情报分析研究的常用方法和发展趋势，提高情报分析研究人员的素质和能力。     

What is in a name? Credit assignment practices in different disciplines

The paper reviews the literature on disciplinary credit assignment practices, and presents the results of a longitudinal study of credit assignment practices in the fields of economics, high energy physics, and information science. The practice of alphabetization of authorship is demonstrated to vary significantly between the fields. A slight increase is found to have taken place in economics during the last 30 years (1978–2007). A substantial decrease is found to have taken place in information science during the same period. High energy physics is found to be characterised by a high and stable share of alphabetized multi-authorships during the investigated period (1990–2007). It is important to be aware of such disciplinary differences when conducting bibliometric analyses.     

Research in Academic Reference Librarianship: Review of the 2008–2012 Published Research

This article reviews the research literature of three major journals in reference librarianship. The texts of 494 articles were analyzed and classified as research versus nonresearch. Articles such as news, commentary, book reviews, editorials, meeting announcements, and opinion pieces were excluded from the analysis. A total number of 162 (30.49%) articles were determined to be research articles and were examined to collect data on numerous variables including but not limited to authorship, affiliation, topic, type of research, data collection, and data analysis techniques.     

2014’医学信息创新服务与写作投稿研讨班通知

为提高医学信息工作者和医学图书馆员信息服务能力,掌握科学研究和论文写作的方法与技巧,了解《中华医学图书情报杂志》等期刊投稿的相关要求,加强作者、编者之间的沟通交流,解放军医学图书馆《中华医学图书情报杂志》编辑部将于2014年11月25-28日在京举办“2014’医学信息创新服务与写作投稿研讨班”。     

Readability: A Factor in Student Research?

Readability assessments of works cited in freshmen informative and argumentative speeches were performed with the Flesch-Kincaid Reading Grade Level and Flesch Reading Ease assessment tools available in Microsoft Word. Students selected their sources independently, and their sources were grouped as journals, magazines and newspapers, and websites, which were then subdivided by domain type. The wide range of readability scores in sources cited in freshman speeches raises questions related to college freshmen's reading abilities and how that affects student's selection of sources when performing research for class assignments.     

Effect of online research data management instruction on social science graduate students’ RDM skills

Prior research has suggested the value of and the need to provide consistent research data management (RDM) instruction specifically for graduate students. However, there is a lack of RDM instruction that is tailored for the social science disciplines. The effect of a four-hour, online RDM instruction intervention, designed based on the research data life cycle, on the RDM knowledge of graduate students in social science disciplines was investigated. A total of 84 students completed both pre/post knowledge assessments with 40 students randomly assigned into the intervention group receiving online instruction and 44 in the control group. A one-way ANCOVA was used for the data analysis. Results indicated that social science graduate students who received online RDM instruction had a significantly higher score in RDM knowledge than students in the control group. Moreover, the effect of the instruction on participants' RDM skills varied by their disciplines.     

Missing in action? Content of records management metadata in real life

During the last 15 years, records managers and archivists have focused on defining requirements for functionality and metadata of electronic records management systems. So far little is known about metadata that are actually created in these systems. This study examines metadata in records of a Finnish government agency. The metadata comply with the national SÄHKE records management metadata specification. The main findings are that a substantial number of metadata elements in SÄHKE remained unused. Generated metadata were largely about event history. Optional metadata elements were used rarely. The metadata show clear patterns, which may suggest systematic recordkeeping processes and possibly minimal human intervention in metadata creation.