integrity of data

USAGE SUMMARY

The phrase "integrity of data" is correct and commonly used in written English.
It refers to the reliability and accuracy of information or data. You can use this phrase in various contexts, such as discussing data management, data security, or data analysis. For example: - "It is important to regularly back up your computer to ensure the integrity of your data." - "The company's IT department is responsible for maintaining the integrity of our data systems." - "The research team double-checked the integrity of their data before publishing their findings." - "Tampering with evidence can compromise the integrity of data in a criminal investigation." - "The company's reputation was damaged after a data breach compromised the integrity of their customers' personal information."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Rather than privacy from the state, the real concern, Ilves insists, is the integrity of data.

The Guardian

Over successive decades, this technique has developed into sophisticated error-correction codes that ensure the integrity of data prone to unwanted corruption in transmission.

The Guardian

"I would think that if he were seriously concerned about the integrity of data," Ms. Kamath said, "he would come to us and not The New York Times".

The New York Times

The quality and integrity of data is critical to build high-quality models.

TechCrunch

But it lacks to provide the confidentiality and integrity of data.

EURASIP Journal on Wireless Communications and Networking

refers to preserving the integrity of data, a well studied area of computer security.

Security Informatics

It ensures the security, transparency, and integrity of data, which cannot be tampered with or forged.

Financial Innovation

To verify the integrity of data without having to retrieve the data from cloud [25, 26].

Journal of Big Data

The TPA will do the auditing for storage correctness and integrity of data.

EURASIP Journal on Information Security

In networks, security protocols are used to ensure confidentiality, authenticity, and integrity of data transfers.

Architecture of Network Systems

Ensuring the integrity of data and results of any clinical trial is essential.

Hematology-Oncology Clinics of North America

Expert writing Tips

Best practice

When discussing data in scientific or technical contexts, clearly define the measures taken to ensure the "integrity of data", such as validation checks, audits, and security protocols.

Common error

Avoid assuming that data automatically possesses "integrity"; always implement and describe specific measures to validate and maintain it, especially in critical applications.

Linguistic Context

The phrase "integrity of data" functions primarily as a noun phrase, acting as the subject or object in a sentence. It denotes the quality or condition of data being complete, accurate, and consistent. Ludwig AI confirms its correct usage in diverse contexts.

Expression frequency: Very common

Frequent in

Science

58%

News & Media

32%

Formal & Business

10%

Less common in

Ludwig's WRAP-UP

The phrase "integrity of data" is a widely used and grammatically correct term that underscores the reliability and accuracy of information. As Ludwig AI confirms, it appears frequently in scientific, news, and business contexts, highlighting its importance across various domains. To maintain data integrity, it is essential to implement robust validation procedures, conduct regular audits, and ensure strong security measures. Related terms like "data accuracy" and "data reliability" further refine this concept, each focusing on specific aspects of data quality. By understanding and applying these principles, one can effectively safeguard the "integrity of data" in any application.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data accuracy

Focuses specifically on the correctness and precision of the data.

data reliability

Emphasizes the trustworthiness and consistency of the data over time.

data validity

Highlights that the data measures what it is supposed to measure.

data security

Concentrates on protecting the data from unauthorized access and modification.

data authenticity

Focuses on verifying that the data is genuine and not forged.

data trustworthiness

Highlights the extent to which data is worthy of confidence.

data correctness

Stresses the absence of errors and the factual accuracy of the data.

data soundness

Indicates the robustness and reliability of the data.

data precision

Emphasizes the level of detail and exactness in the data.

data completeness

Focuses on ensuring that all necessary data elements are included.

FAQs

How can I ensure the "integrity of data" in my research?

You can ensure the "integrity of data" by implementing rigorous data validation procedures, conducting regular audits, and employing robust security measures to prevent unauthorized access and tampering.

What does maintaining the "integrity of data" mean in a business context?

In a business context, maintaining the "integrity of data" means ensuring that data is accurate, consistent, and reliable for informed decision-making and regulatory compliance. This involves implementing data governance policies, access controls, and backup and recovery mechanisms.

What are some alternatives to the phrase "integrity of data"?

You can use alternatives like "data accuracy", "data reliability", or "data validity" depending on the specific aspect you want to emphasize.

Why is the "integrity of data" important in cloud storage?

The "integrity of data" is crucial in cloud storage because it ensures that data remains unchanged and accessible over time. Cloud providers use various mechanisms such as redundancy, checksums, and encryption to protect data from corruption and unauthorized modifications.