科技论文中数据问题的编辑审读技巧  

Reviewing skills for data problems in sci-tech papers

作　　者：游俊[1] 赵燕[1] 胡小洋[1] 

机构地区：[1]<湖北大学学报>编辑部,武汉430062

出　　处：《编辑学报》2012年第6期536-538,共3页Acta Editologica

摘　　要：编辑初审及刊后审查中常发现科技论文中存在一些数据方面的问题,有些数据错误甚至很严重。针对科技论文中常见的3大类8小类数据问题,建议编辑按一定的审读程序,综合采用比对全文各处、利用科学常识、审查方法设计、进行简单计算、借助权威软件、依托各种资源等方法来加强编辑审读,以最大化地避免和有效解决科技论文中的数据错误。During the editor＇s first review and re-review after publication, many data problems can often be found in some scitech papers, and some data errors are even serious. Aiming at eight kinds of common data problems, a combination of skills should be adopted to strengthen the editor＇s reviewing, so as to maximally avoid the data errors. The skills include： contrasting throughout the full text, using scientific knowledge, checking the design scheme or methods, carrying out a simple calculation, having the aid of authority software, and relying on all kinds of resources

关 键 词：科技论文 数据问题 编辑实践 审读技巧 

分 类 号：G232[文化科学]