摘要
结合实例分析,对科技期刊论文中错误数据的类型进行了归纳,并就编辑如何提高对数据的敏感性提出了建议。认为编辑不仅要有认真负责的态度、相关专业知识的学习和积累、掌握必要的统计学知识,还要对数据进行细致的复核,才能减少甚至消除科技论文中的数据错误。
By analyzing some actual cases, we summarize the types of wrong data in science papers, and propose some suggestions on developing sensitivity to wrong data for sci-tech journal editors. It is pointed out that editors should take serious responsibilities, learn and accumulate professional knowledge related to their fields, and master necessary knowledge of statistics. Besides, they should also take a careful review of data in the manuscripts in order to reduce such errors to the largest extent.
出处
《编辑学报》
CSSCI
北大核心
2012年第3期302-304,共3页
Acta Editologica
关键词
科技期刊
编辑
错误数据
敏感性
sci-tech journal
editor
wrong data
sensitivity