文章摘要
武英耀.科技论文常见数据错误分析.编辑学报,2015,27(2):149-151
科技论文常见数据错误分析
Analysis of common errors in data in sci-tech papers
投稿时间:2012-09-13  修订日期:2012-09-13
DOI:
中文关键词: 科技论文  数据错误  分析
英文关键词: sci-tech papers  errors in data  analysis
基金项目:
作者单位
武英耀 《山西农业大学学报》编辑部,030801,山西太谷 
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中文摘要:
      在论文编辑实践中常会遇到各种类型的数据错误,常见的有有悖常理型、自相矛盾型、张冠李戴型、概念不清型、逻辑混乱型、单位错误型、运算错误型,等等。文章就各类型数据错误进行实例分析,并对审、编、校人员如何发现数据错误提供建议。
英文摘要:
      In the process of editing, editors of sci-tech periodicals may often find various types of common errors in data in manuscripts, including those perverse, paradoxical, mixed up, unclear of concepts, confused in logic, and erroneous in units and calculation. By analyzing these types of common errors, this article discusses how to find errors in data for reviewers, editors and proofreaders, which could provide reference for them in reviewing, editing and proofreading. It is hoped that reviewers, editors and proofreaders could find and correct such errors in data and could encourage and inspire the authors to check the data carefully when writing academic papers.
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