Data quality is one of the important issues in identifying data sources.
数据质量是识别数据源中的重要问题之一。
Each node can contain some identifying data, plus a set of subnodes of a specific child type.
每个节点可以包含一些标识数据，以及一组特定子类型的子节点。
Organizations need to create a seamless cross-language flow of information for gathering and managing crucial identifying data.
这些组织必须创造一种超越语言的无缝信息流来收集和处理关键性的身份数据。
While IBM Cognos Upgrade Manager does a great job at identifying data issues and some formatting issues, it won't identify all formatting differences.
尽管IBMCognosUpgradeManager在识别数据问题和一些格式问题上做得很好，但是它并不能识别所有的格式差异。
Not only does the context of how the information will be used matter in identifying data, but it also guides the capture and presentation of that information.
数据的使用方式这个上下文不仅影响数据的确定，而且还指导着信息的捕获和表示。
You may have run across MIME types when working with E-mail and attachments, but the MIME specification describes a more general-purpose mechanism for identifying data forms.
在处理电子邮件和附件时，您可能已经遇到过MIME类型，但MIME规范描述了识别数据格式的更通用的机制。
You may have run across MIME types when working with E-mail and attachments, but the MIME specification describes a more general-purpose mechanism for identifying data forms.
在处理电子邮件和附件时，您可能已经遇到过MIME类型，但MIME规范描述了识别数据格式的更通用的机制。
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