validity check

简明释义

有效性检查

英英释义

例句

1.Before processing the data, we need to perform a validity check 有效性检查 to ensure all entries are correct.

在处理数据之前，我们需要进行一次validity check 有效性检查以确保所有条目都是正确的。

2.During the registration process, a validity check 有效性检查 is conducted to verify email addresses.

在注册过程中，会进行一次validity check 有效性检查以验证电子邮件地址。

3.Our team implemented a validity check 有效性检查 to filter out invalid data entries.

我们的团队实施了一个validity check 有效性检查以过滤掉无效的数据条目。

4.You should always run a validity check 有效性检查 on your inputs before submitting the form.

在提交表单之前，您应该始终对输入进行一次validity check 有效性检查。

5.The software includes a validity check 有效性检查 feature that alerts users to incorrect formats.

该软件包括一个validity check 有效性检查功能，能提醒用户格式不正确。

作文

In today's digital age, the importance of data integrity cannot be overstated. As businesses increasingly rely on data to make informed decisions, ensuring that this data is accurate and reliable becomes paramount. One essential process in maintaining data quality is the validity check, a systematic method used to verify that the data entered into a system meets specific criteria and standards. A validity check (有效性检查) serves as a gatekeeper, filtering out erroneous or irrelevant information before it can affect business operations. The concept of a validity check is not limited to any one industry; it is applicable across various fields such as finance, healthcare, and research. For instance, in the financial sector, a validity check may involve verifying that transaction amounts fall within acceptable limits, ensuring that no fraudulent activities are taking place. Similarly, in healthcare, patient records must undergo a validity check to confirm that all information is accurate, thus preventing medical errors that could have severe consequences for patients. Implementing a validity check involves establishing clear rules and parameters that the data must adhere to. These rules can include format specifications, range checks, and consistency checks. For example, if a database is designed to store birth dates, a validity check would ensure that the entered date is realistic and falls within a plausible range. This prevents nonsensical entries like 'February 30th' or future dates from being recorded. Moreover, a validity check can also enhance user experience. When users input data into a form, immediate feedback can be provided if their entries do not meet the established criteria. This real-time validation helps users correct mistakes on the spot, reducing frustration and improving the overall efficiency of data collection. However, while validity checks are crucial, they are not foolproof. They primarily focus on the format and logical consistency of the data but do not guarantee that the data is meaningful or relevant. For example, a validity check might allow an entry of '999' in a field that expects a person's age, as the format is correct. Yet, this entry is clearly invalid in a real-world context. Therefore, organizations must complement validity checks with additional layers of data validation processes, such as authenticity checks and source verification. In conclusion, the role of a validity check (有效性检查) in data management is indispensable. It acts as a first line of defense against incorrect data entry, safeguarding the integrity of information systems. As the reliance on data continues to grow, understanding and implementing effective validity checks will be crucial for organizations aiming to maintain high standards of data quality. By investing in robust validation processes, businesses can ensure that their decisions are based on reliable data, ultimately leading to better outcomes and enhanced operational efficiency.

在当今数字时代，数据完整性的重要性不容忽视。随着企业越来越依赖数据做出明智决策，确保这些数据的准确性和可靠性变得至关重要。维护数据质量的一个重要过程是有效性检查，这是一种系统的方法，用于验证输入到系统中的数据是否符合特定标准和要求。有效性检查充当了守门人，在影响业务运营之前过滤掉错误或无关的信息。有效性检查的概念并不限于某个行业；它适用于金融、医疗和研究等各个领域。例如，在金融部门，有效性检查可能涉及验证交易金额是否在可接受的范围内，以确保没有发生欺诈活动。同样，在医疗保健中，患者记录必须经过有效性检查以确认所有信息的准确性，从而防止可能对患者造成严重后果的医疗错误。实施有效性检查涉及建立明确的规则和参数，数据必须遵循这些规则。这些规则可以包括格式规范、范围检查和一致性检查。例如，如果数据库旨在存储出生日期，则有效性检查将确保输入的日期是现实的，并且在合理范围内。这可以防止像“2月30日”或未来日期这样的荒谬条目被记录。此外，有效性检查还可以增强用户体验。当用户在表单中输入数据时，如果他们的输入不符合既定标准，可以立即提供反馈。这种实时验证帮助用户即时纠正错误，减少挫败感，提高数据收集的整体效率。然而，尽管有效性检查至关重要，但它们并不是万无一失的。它们主要关注数据的格式和逻辑一致性，但并不能保证数据的意义或相关性。例如，有效性检查可能允许在期望为年龄的字段中输入“999”，因为格式是正确的。然而，这个条目在现实世界中显然是无效的。因此，组织必须用额外的数据验证过程补充有效性检查，例如真实性检查和来源验证。总之，有效性检查（有效性检查）在数据管理中的作用不可或缺。它作为防止错误数据输入的第一道防线，保护信息系统的完整性。随着对数据的依赖不断增长，理解和实施有效的有效性检查对于希望保持高数据质量标准的组织至关重要。通过投资于强大的验证过程，企业可以确保其决策基于可靠的数据，最终导致更好的结果和增强的运营效率。