data accuracy

USAGE SUMMARY

"data accuracy" is a correct and usable phrase in written English.
You can use this phrase when referring to the level of accuracy of information or data. For example, "We are committed to ensuring the highest level of data accuracy in all of our records."

✓ Grammatically correct

News & Media

Science

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

It's dependent on data accuracy.

The New York Times - Tech

The government has killed off the Audit Commission, which checked data accuracy locally.

The Guardian

Officials admit ensuring data accuracy through this approach is "inherently difficult".

The Guardian

OPT tolerates minor disturbances and requires moderate discipline and limited data accuracy.

Harvard Business Review

The commission delayed releasing the baseline this month, citing the need for data accuracy.

The New York Times

Nancy is a woman with a mission and serious commitment to data accuracy.

Yale University

Responses were then analyzed by company name, annual revenue, number of employees, and industry type to ensure data accuracy.

Harvard Business Review

Automatic voter registration would add a critically important tool to improve data accuracy by cross-checking address and name change requests made to the DMV with election officials.

The Washington Post

Remans, T. et al. Reliable gene expression analysis by reverse transcription-quantitative PCR: reporting and minimizing the uncertainty in data accuracy.

Nature

"This offers reassurance about data accuracy".

BBC

Are there processes in place to maintain data accuracy?

Forbes

Expert writing Tips

Best practice

When emphasizing the importance of "data accuracy", quantify the potential impact of inaccuracies using metrics (e.g. financial cost, time lost, error rate) to underscore its significance.

Common error

Relying solely on initial data entry without implementing validation checks can significantly undermine "data accuracy". Always incorporate layered validation methods to catch errors at multiple stages.

Linguistic Context

The phrase "data accuracy" functions primarily as a noun phrase, often serving as the subject or object of a sentence. It describes a quality or attribute of data, indicating its degree of correctness and freedom from errors. Ludwig provides numerous examples demonstrating this usage.

Expression frequency: Very common

Frequent in

News & Media

31%

Science

50%

Formal & Business

8%

Less common in

Academia

2%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "data accuracy" is a commonly used noun phrase that refers to the correctness and reliability of data. As Ludwig AI confirms, it's grammatically correct and widely applicable across various domains, including news, science, and business. Ensuring "data accuracy" involves implementing robust validation processes and maintaining data integrity. Related phrases, such as ""information precision"" and "reliability of data", can be used to emphasize different aspects of data quality. Addressing potential errors and consistently validating data are crucial for achieving high "data accuracy" and producing trustworthy results.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

information accuracy

This is a direct synonym, simply reversing the order of the words.

information precision

This alternative emphasizes the exactness and detail of the information.

reliability of data

This phrase highlights the trustworthiness and consistency of the data.

correctness of information

This focuses on the absence of errors in the provided data.

integrity of data

This refers to the completeness and validity of the data.

validity of the data

This emphasizes the factual soundness of the data being used.

data integrity

This highlights the completeness and reliability of the data set.

accuracy of records

This specifically refers to the correctness of recorded data.

precision of data

Emphasizes the exactness and fineness of detail in the data.

factual correctness

This refers to the adherence of the information to established facts.

FAQs

How can I improve "data accuracy" in my reports?

To enhance "data accuracy", implement regular data audits, cross-validate data sources, and train personnel on proper data entry techniques. Standardize data collection processes and utilize data validation tools to catch inconsistencies and errors early.

What are the key components of ensuring "data accuracy"?

Key components include data validation, regular audits, standardized collection processes, and well-trained personnel. You can also consider alternatives like "data reliability" and "data integrity".

What's the difference between "data accuracy" and "data integrity"?

"Data accuracy" refers to the correctness of individual data points, while "data integrity" encompasses the overall completeness, consistency, and reliability of the entire dataset. Consider using "information precision" to further emphasize correctness.

What factors can compromise "data accuracy"?

Factors that compromise "data accuracy" include human error during data entry, flawed data collection methods, system glitches, and inadequate validation processes. Addressing these issues is crucial to maintaining reliable and trustworthy data.