data description entry

简明释义

数据描述项目

英英释义

例句

1.The software automatically generates a data description entry 数据描述条目 for each new dataset uploaded.

该软件会为每个上传的新数据集自动生成一个数据描述条目。

2.Understanding the data description entry 数据描述条目 is crucial for accurate data analysis.

理解数据描述条目对于准确的数据分析至关重要。

3.The team needs to complete the data description entry 数据描述条目 before submitting the report.

团队需要在提交报告之前完成数据描述条目。

4.During the audit, we found several missing data description entries 数据描述条目 that need to be filled in.

在审计过程中，我们发现有几个缺失的数据描述条目需要填写。

5.In our database, each data description entry 数据描述条目 provides essential information about the dataset.

在我们的数据库中，每个数据描述条目提供了关于数据集的重要信息。

作文

In today's digital age, the importance of data cannot be overstated. Every day, vast amounts of information are generated, collected, and analyzed. However, to make sense of this data, we need to have a clear understanding of its structure and meaning. This is where the concept of data description entry comes into play. A data description entry refers to the detailed account or explanation of a specific piece of data, including its attributes, format, and context. By providing comprehensive descriptions, we can ensure that data is interpreted correctly and used effectively.For instance, in a research study, each variable collected must have a data description entry that outlines what the variable represents, how it was measured, and any relevant units of measurement. This allows other researchers to understand and replicate the study accurately. Without such entries, data can be misinterpreted, leading to erroneous conclusions and wasted resources.Moreover, in fields like data science and analytics, having well-defined data description entries is crucial for data integrity. When datasets are shared among teams or organizations, these descriptions serve as a guide. They help users navigate through the data without confusion and reduce the chances of errors during analysis. For example, if a dataset contains a column labeled "Age," a good data description entry would clarify whether this represents the age in years, months, or another unit. Such clarity is essential for accurate data analysis and decision-making.Additionally, data description entries play a significant role in compliance and governance. Many industries are subject to regulations that require data to be documented thoroughly. Properly defined data description entries can help organizations demonstrate adherence to these regulations by providing evidence of data management practices. This is particularly important in sectors like healthcare and finance, where data sensitivity and accuracy are paramount.Furthermore, as technology evolves, the methods for creating and managing data description entries have also advanced. Tools and software now exist that automate the generation of these descriptions, making it easier for data professionals to maintain comprehensive records. This innovation not only saves time but also enhances the quality of data documentation.In conclusion, the significance of data description entry in the realm of data management cannot be overlooked. It serves as the backbone of effective data utilization, ensuring clarity, consistency, and compliance. As we continue to navigate through an increasingly data-driven world, investing in robust data description entries will undoubtedly lead to better insights and more informed decisions. Thus, it is imperative for individuals and organizations alike to prioritize the creation and maintenance of these essential data descriptors to harness the full potential of their data assets.

在当今数字时代，数据的重要性不容小觑。每天，海量的信息被生成、收集和分析。然而，要理解这些数据，我们需要清楚其结构和含义。这就是数据描述条目这一概念的作用。数据描述条目指的是对特定数据片段的详细说明或解释，包括其属性、格式和上下文。通过提供全面的描述，我们可以确保数据被正确解读并有效使用。例如，在一项研究中，每个收集的变量都必须有一个数据描述条目，概述该变量代表什么、如何测量以及任何相关的测量单位。这使得其他研究人员能够准确理解和复制研究。如果没有这样的条目，数据可能会被误解，导致错误的结论和资源的浪费。此外，在数据科学和分析等领域，拥有明确定义的数据描述条目对于数据完整性至关重要。当数据集在团队或组织之间共享时，这些描述作为指南，帮助用户无混淆地导航数据，并减少分析过程中的错误机会。例如，如果数据集中包含一个标记为“年龄”的列，一个好的数据描述条目将明确这一列是否表示以年、月或其他单位计的年龄。这种清晰性对于准确的数据分析和决策至关重要。此外，数据描述条目在合规性和治理中也发挥着重要作用。许多行业受制于要求数据进行全面记录的法规。适当定义的数据描述条目可以帮助组织证明其遵守这些法规，通过提供数据管理实践的证据。这在医疗和金融等数据敏感性和准确性至关重要的行业尤其重要。随着技术的发展，创建和管理数据描述条目的方法也不断进步。现在存在一些工具和软件，可以自动生成这些描述，使数据专业人员更容易维护全面的记录。这种创新不仅节省了时间，还提高了数据文档的质量。总之，数据描述条目在数据管理领域的重要性不容忽视。它是有效数据利用的支柱，确保了清晰性、一致性和合规性。随着我们继续在一个日益数据驱动的世界中航行，投资于强大的数据描述条目无疑将带来更好的洞察力和更明智的决策。因此，个人和组织都应优先考虑创建和维护这些基本数据描述符，以充分利用其数据资产的潜力。