Effective collection and selection of research articles for a systematic review

I. Rozanc
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Abstract

The first step in any research work is to gain a better understanding of selected research topic and its placement in the research field. To achieve this a Systematic Review (SR) is usually performed in one of two forms. A Systematic Literature Review (SLR) addresses a specific research question by providing insight into selected literature, while a Systematic Mapping Study (SMS) uses a principle of classification of a large number of collected articles to present a wider picture of the research topic. In both cases, the collection and selection of proper articles are crucial. Due to a lot of available articles from different sources and its diverse quality, a lot of tedious (often manual) work is required. This article addresses the issues of effective collection and selection of an appropriate set of articles. First, the importance of using suitable guidelines for conducting an SR is presented. Then, the practical considerations for the collection of articles are shown with an emphasis on effective search in Digital Libraries (DLs). Finally, the issues connected with an effective selection of an appropriate set of articles (from all collected) is described. In this part, we advise to collect as many articles as possible and perform sequential three-step selection to efficiently eliminate the obviously incorrect ones without a tedious manual screening of entire article contents.
有效收集和选择研究文章进行系统评价
任何研究工作的第一步都是更好地理解所选的研究课题及其在研究领域的定位。为了达到这个目的,系统评审(SR)通常以两种形式之一进行。系统文献综述(SLR)通过提供对选定文献的见解来解决特定的研究问题,而系统地图研究(SMS)使用大量收集文章的分类原则来呈现研究主题的更广泛图景。在这两种情况下,收集和选择适当的文章是至关重要的。由于来自不同来源的大量可用文章及其质量参差不齐,需要进行大量繁琐(通常是手工)的工作。本文解决了有效收集和选择适当的文章集的问题。首先,介绍了使用合适的指导方针进行SR的重要性。然后,文章收集的实际考虑是强调在数字图书馆(dl)的有效搜索。最后,与有效选择一组适当的文章(从所有收集)相关的问题被描述。在这一部分中,我们建议尽可能多地收集文章,并进行连续的三步选择,以有效地剔除明显错误的文章,而无需繁琐的手动筛选整个文章内容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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