现场采集的数据只有在经过了数据整理、数据组织、数据处理、数据维护等过程后，才能最终转换成实际应用所需要的知识化数据，即信息。数据整理，是一个对不规范数据进行筛选，“去伪存真、去粗取精”的过程。而数据的组织与处理，则是数据转换过程的关键。它覆盖了产生合理的数据结构，数据的规范化、标准化，数据加载，质量控制，异地共享、统计汇总、数据重组乃至最终生成知识化数据的全过程。知识化数据若要正常使用，还必须依靠数据维护来完成对其的调整、更新、修改和补充。 Data collected in the field can be finally converted into the knowledgeable data, ie, information, needed by the actual application only after the processes of data organization, data organization, data processing and data maintenance are completed. Data sorting, is a non-standard data screening, “to pseudo-true, to coarse and fine” process. The data organization and processing, it is the key to the data conversion process. It covers the entire process of generating a reasonable data structure, data normalization, data loading, quality control, off-site sharing, statistical aggregation, data reorganization and eventually the generation of knowledgeable data. Knowledgeable data for normal use, but also must rely on data maintenance to complete the adjustment, update, modify and supplement.