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Abstracts: problems classified from the user perspective

机译:摘要:从用户角度分类的问题

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Background: most of the recent research into abstracts conducted by the information science (IS) community has had little practical implication in terms of improvement and quality. A possible explanation of this is the lack of connection with the real problems that the poor quality of abstracts may pose in the 'real' context of researchers accessing information. Purpose: the types of problem abstracts may pose for potential users have been studied, and then classified and compared with current IS research into the quality of abstracts. Method: 62 interviews were held with researchers from six European universities to ascertain the opinions of potential users. These participants commented on a set of database abstracts in the areas of Education and Agriculture. Results: the participants pointed out different types of problem which were classified under the following headings: terminology, over-condensation, lack and excess of information, expectations and coherence, structure, register and layout. Conclusion: the problems described were at variance with those commonly dealt with in the literature on the subject, thus suggesting new areas of research.
机译:背景:信息科学(IS)社区最近对摘要进行的大多数研究在改进和质量方面几乎没有实际意义。对此的可能解释是,与研究人员访问信息的“真实”环境中摘要质量差可能造成的实际问题缺乏联系。目的:已经研究了可能给潜在用户带来的问题摘要的类型,然后将其分类并与当前IS对摘要质量的研究进行比较。方法:对来自六所欧洲大学的研究人员进行了62次访谈,以确定潜在用户的意见。这些参与者评论了教育和农业领域的一组数据库摘要。结果:参与者指出了不同类型的问题,这些问题分为以下几类:术语,过度浓缩,信息的缺乏和过多,期望和连贯性,结构,登记和布局。结论:所描述的问题与有关该主题的文献中通常讨论的问题不一致,从而提出了新的研究领域。

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