论数字馆藏的评价

本文首先对数字馆藏的概念及构成重新作了分析,指出数字馆藏评价包括对馆藏数字资源和数字资源存储系统的评价,而对馆藏数字资源的评价又包括对数据库、网络资源导航和其它数字化文献的评价。进而对数字馆藏存储系统的评价进行了系统的论述。     

图书馆服务质量体系的研究与实践

论文阐述了质量管理的原理和原则，并结合武汉理工大学的实践，探讨了图书馆服务质量体系文件的编制和质量体系的实施与评审，最后提出了关于图书馆服务质量管理的几点政策性建议。     

网络时代信息资源的采集、描述与质量控制--以东北林业大学重点学科导航库为例

网络信息资源已逐渐成为高等院校图书馆文献资源建设的一个重要内容，本文以东北林业大学学科导航库为例，系统地讨论了网络信息资源的采集、描述及其质量控制。     

数字图书馆包装层生成技术研究

包装层是对应于特定信息源的一种特殊程序,是实现异构信息源集成的关键。数字图书馆的包装层可以作为数字图书馆的智能前端代理,负责把来自中介层的统一查询表示映射为针对具体数字图书馆的查询格式,并从得到的查询结果中提取出用户需要的信息,提交给中介层。数字图书馆包装层生成的关键技术主要有:查询映射机制,查询服务调用机制,结果提取与转换机制。图6。参考文献5。     

数字环境下图书馆信息服务质量的评价

本文对影响用户满意度的因素、图书馆信息服务质量评价原则以及几种有代表性的评价模式进行研究探讨，并尝试创建了一套公共图书馆信息服务质量评价指标体系。     

"河洛文化文献专题数据库"建设方略探微

以洛阳师范学院图书馆“河洛文化文献专题数据库”建库实践为例，分析、探讨了特色数据库建设当中的突出问题和技术难点，并相应地给出了解决方案。     

国家科学数字图书馆网络联合参考咨询服务质量控制及评价方案研究*

介绍了国内外数字参考咨询服务质量评价体系的研究与应用概况。结合国家科学数字图书馆网络联合数字参考咨询服务的质量控制需要，在项目一期建设基础上选取部分指标建立了实际操作的评价体系，并制定了制度化的系统评价方案。     

A Model for Quantitatively Analyzing Representations of Social Class in Screen Media

Content analyses of prime-time television provide a picture of predominant cultural stereotypes and social trends. The present research is a quantitative content analysis of social class in popular broadcast and cable television in the United States. This research advances scholarship by systematically analyzing character class in addition to more commonly examined variables such as race and gender. A model for the operationalization of class for quantitative content analyses of mediated texts is offered. This proof of concept study demonstrates the viability of studying media representations of class quantitatively to systematically document patterns of portrayal.     

Investigating the quality of interactions and public engagement around scientific papers on Twitter

This study explores science communication on Twitter by investigating a sample of tweets referring to academic papers in five different scientific fields. The specifications of science communicators on Twitter, the characteristics of those who initiate actions (by tweeting), the extent and quality of reactions (retweeting), individual and group interactions, and the distribution of tweets across types of engagement in the process of science communication (i.e., dissemination, consultation, and evaluation) were explored. A broad array of actors is involved in the communication of science on Twitter, with individual citizens and individual researchers playing an important role. In principle, this is promising for creating direct interaction, which can be difficult through more traditional mass media. The vast majority of communication activities regarding academic papers is undigested dissemination with almost no sign of debate, contestation, or collective reflection. Another general finding of this study is that bot accounts play a major role in the science communication landscape on Twitter.