科技论文常见数据错误分析  

Analysis of common errors in data in sci-tech papers

作　　者：武英耀[1] 

机构地区：[1]<山西农业大学学报>编辑部,山西太谷030801

出　　处：《编辑学报》2015年第2期149-151,共3页Acta Editologica

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。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 lind 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.

关 键 词：科技论文 数据错误 分析 

分 类 号：G232[文化科学]