waterlilyqd的个人博客分享 http://blog.sciencenet.cn/u/waterlilyqd 翻译--编辑--信息分析从平凡中见神奇! Journal of Mountain Science科学网博客

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On information collection and analysis

已有 3036 次阅读 2012-7-15 18:21 |个人分类:信息分析|系统分类:观点评述| Information, Analysis, intelligence

written in October, 2007

Today's seminar on project research progress made me feel not very well. The research title of one department is the Trend Analysis on Key Crop Breeding Project. The speaker only gave a short PPT display, and the content was more surprising. The planned task of the whole project is just writing one article on the trend analysis of rice breeding. The speaker said they had already investigated the released varieties  in S Province and the published articles in each year, then they would establish one regression model to analyze the trend of the variation. After the presentation, I told her maybe it is not so simple to analyze the developmental trend of crop breeding just by collecting the variety numbers and the published article amount. As the publicly well-known reasons, in recent years, more and more articles are published and more and more new varieties are released perhaps not by the elevation of scientific research levels but by the stimulation of interests. When we want to do information analysis, the most important is that we must consider the readers or the objects of the analysis report. In this project, if the analysis report is for the rice breeding experts or researchers, we should tell or suggest them what they should do in their future rice breeding work, which breeding methods will be the best and which characters will be the most needed to pay attention to; and if the report is written for the government officials, then we should provide useful information for the officials  to tell them what they should do in policy-making so as to encourage the development of rice breeding. Secondly, we should consider which factors are the most important and appropriate for the final conclusion, for example, in this project, the most important factors may not be the variety numbers, nor the published article amount. Thirdly, we should determine which channels to get the needed data. Fourthly, we should make logic conclusion on the basis of the data. 

Some think it's simple to do information research. Instead, it's difficult to provide valuable information just through information collection and editing. One veteran information worker once said, people who did information work produced literal rubbish every day. On some degree, what he said is right. If we want our information research and service have a certain value, all these should be done according the requirements of the objects we serve, and the variables to be selected must be the most important, and finally the conclusion should be pertinent! 



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