quality of data

USAGE SUMMARY

"quality of data" is a correct and usable phrase in written English.
You can use it whenever you are talking about the general characteristics of data such as accuracy, completeness, or reliability. For example, "The quality of data collected from our survey was excellent."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

59 human-written examples

We are improving the quality of data on students leaving the country".

The Guardian

Others said improvements in the quality of data collection were vital.

The Guardian

This includes data protection as well as the collection and quality of data.

The Guardian

The key is to improve the quality of data relating to reporting cases and prosecutions.

The Guardian

An ongoing issue relates to the quality of data and information.

The Guardian

Others fret over the quality of data generated by nonspecialists.

The New York Times - Science

The quantity and quality of data play a crucial role in achieving a reliable DNN model.

Nature

But Tancer also questions the quality of data used to test the researchers' models.

MIT Technology Review

Second, they do not measure the quality of data contributed.

International Journal of Human-Computer Studies

The quality of data was analyzed with Generalizability Theory.

Procedia Engineering

Human-verified similar examples from authoritative sources

Similar Expressions

1 human-written examples

We call this enforcement quality-of-data (QoD).

Journal of Internet Services and Applications

Expert writing Tips

Best practice

Use "quality of data" as a key performance indicator (KPI) for data-driven decision-making.

Common error

Ensure rigorous data validation processes are in place to maintain the "quality of data". Lack of validation can lead to inaccurate analyses and flawed conclusions.

Linguistic Context

The phrase "quality of data" functions as a noun phrase, typically acting as the subject or object of a sentence. It describes a characteristic or attribute of data, referring to its accuracy, reliability, and completeness. Ludwig AI provides numerous examples across various domains, confirming its grammatical correctness.

Expression frequency: Very common

Frequent in

Science

34%

News & Media

32%

Formal & Business

17%

Less common in

Academia

11%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "quality of data" is a grammatically correct and frequently used phrase that emphasizes the importance of data accuracy and reliability. Ludwig AI confirms its widespread use across diverse fields, including science, news, and business. When using this phrase, it's important to consider factors like accuracy, completeness, and consistency to ensure the data is suitable for its intended purpose. Related phrases such as "data quality" and "reliability of data" can be used as alternatives depending on the context. Prioritizing "quality of data" ensures better decision-making and more accurate analyses.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data quality

Reorders the words for conciseness, often used in technical contexts.

reliability of data

Focuses specifically on the trustworthiness and consistency of the data.

accuracy of data

Highlights the correctness and precision of the data.

integrity of data

Emphasizes the completeness and incorruptibility of the data.

validity of data

Indicates the degree to which the data measures what it is supposed to measure.

soundness of data

Refers to the robustness and logical consistency of the data.

data accuracy

Combines terms for brevity, implying correctness in the dataset.

caliber of data

Suggests a level of excellence or superiority in the data's attributes.

excellence of data

Highlights the data's superior attributes.

precision of data

Emphasizes the exactness and detail of the data.

FAQs

How can I assess the "quality of data"?

Assess the "quality of data" by checking its accuracy, completeness, consistency, and timeliness. These factors ensure the data is reliable for its intended use.

What impacts the "quality of data"?

Several factors can affect the "quality of data", including collection methods, data entry errors, outdated information, and biased sampling.

Why is the "quality of data" important?

The "quality of data" is crucial because it directly impacts the reliability of analyses, decisions, and outcomes. Poor data quality leads to inaccurate results and potentially harmful actions.

What are some alternatives to "quality of data"?

You can use alternatives like "data quality", "reliability of data", or "accuracy of data" depending on the specific context.