Bamidis P D, Lithari C, Konstantinidis S T
Lab of Medical Informatics, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Hippokratia. 2010 Dec;14(Suppl 1):38-48.
With the number of scientific papers published in journals, conference proceedings, and international literature ever increasing, authors and reviewers are not only facilitated with an abundance of information, but unfortunately continuously confronted with risks associated with the erroneous copy of another's material. In parallel, Information Communication Technology (ICT) tools provide to researchers novel and continuously more effective ways to analyze and present their work. Software tools regarding statistical analysis offer scientists the chance to validate their work and enhance the quality of published papers. Moreover, from the reviewers and the editor's perspective, it is now possible to ensure the (text-content) originality of a scientific article with automated software tools for plagiarism detection. In this paper, we provide a step-bystep demonstration of two categories of tools, namely, statistical analysis and plagiarism detection. The aim is not to come up with a specific tool recommendation, but rather to provide useful guidelines on the proper use and efficiency of either category of tools. In the context of this special issue, this paper offers a useful tutorial to specific problems concerned with scientific writing and review discourse. A specific neuroscience experimental case example is utilized to illustrate the young researcher's statistical analysis burden, while a test scenario is purpose-built using open access journal articles to exemplify the use and comparative outputs of seven plagiarism detection software pieces.
随着发表在期刊、会议论文集和国际文献中的科学论文数量不断增加，作者和审稿人不仅能获取大量信息，不幸的是，他们也不断面临与抄袭他人材料相关的风险。与此同时，信息通信技术（ICT）工具为研究人员提供了新颖且日益有效的分析和展示其研究成果的方法。统计分析软件工具为科学家提供了验证其研究成果并提高已发表论文质量的机会。此外，从审稿人和编辑的角度来看，现在可以使用自动化的抄袭检测软件工具来确保科学文章（文本内容）的原创性。在本文中，我们逐步演示两类工具，即统计分析和抄袭检测工具。目的不是给出具体的工具推荐，而是就这两类工具的正确使用和效率提供有用的指导方针。在本期特刊的背景下，本文为与科学写作和审稿相关的具体问题提供了有用的教程。利用一个具体的神经科学实验案例来阐述年轻研究人员的统计分析负担，同时专门构建一个测试场景，使用开放获取期刊文章来举例说明七款抄袭检测软件的使用方法和比较结果。
