good data

USAGE SUMMARY

The phrase "good data" is correct and usable in written English.
It can be used when referring to data that is accurate, reliable, and useful for analysis or decision-making. Example: "In order to make informed decisions, we need to ensure that we are working with good data."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

59 human-written examples

First, get good data.

The Economist

Good data is not cheap.

The Guardian

Finally, it's about good data.

The Guardian

Good regulations require good data.

The New York Times

We now have very good data.

The Guardian

"Search queries can provide good data points.

The New York Times

And it's giving companies really good data".

The New York Times

The government now has some good data.

The Economist

There is good data on this.

The New York Times - Science

So no one really has good data on this.

The New Yorker

Human-verified similar examples from authoritative sources

Similar Expressions

1 human-written examples

​ From Good Intentions to Good Data.

Huffington Post

Expert writing Tips

Best practice

When using "good data" in a report or presentation, always cite your sources to maintain transparency and credibility.

Common error

Avoid assuming that because data is "good" it is completely infallible. Acknowledge potential limitations or margins of error. Even "good data" can be subject to biases or inaccuracies if not properly contextualized.

Linguistic Context

The phrase "good data" functions primarily as a noun phrase, where the adjective "good" modifies the noun "data". It identifies data that is of high quality and suitable for a particular purpose, as seen in the Ludwig examples.

Expression frequency: Very common

Frequent in

Science

34%

News & Media

59%

Formal & Business

5%

Less common in

Encyclopedias

0%

Wiki

1%

Reference

0%

Ludwig's WRAP-UP

The phrase "good data" is a common and grammatically correct expression used to emphasize the importance of reliable and accurate information. Ludwig confirms its widespread usage across various domains, including science, news, and business. Alternatives such as "reliable information" and "quality data" can be used to express similar concepts. When using "good data", it's important to define the criteria for 'goodness' and cite sources appropriately. Recognizing potential limitations is also crucial to avoid overstating the reliability of the data. The phrase's register varies from neutral in news to formal in scientific contexts, reflecting its adaptability to different communication styles.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

reliable information

Focuses on the trustworthiness and dependability of the information.

quality data

Emphasizes the high standard and grade of the data.

accurate data

Highlights the correctness and precision of the data.

valid data

Stresses that the data is well-founded and sound.

dependable data

Highlights that the data can be trusted and relied upon.

sound data

Indicates that the data is solid, reasonable and sensible.

trustworthy information

Focuses on the reliability and honesty of the information.

verified data

Emphasizes that the data has been checked and confirmed.

authenticated data

Indicates that the data's origin and integrity have been confirmed.

credible information

Focuses on the believability and persuasiveness of the information.

FAQs

How can I use "good data" in a sentence?

You can use "good data" to emphasize the importance of reliable information for making informed decisions. For example, "Good decisions require "good data".".

What are some alternatives to the phrase "good data"?

Alternatives include "reliable information", "quality data", and "accurate data", depending on the specific aspect you want to emphasize.

How do you ensure data is considered "good"?

Ensuring data is "good" involves verifying its accuracy, reliability, and relevance to the specific purpose. This may include checking the data's source, collection methods, and any potential biases.

In what contexts is "good data" most important?

"Good data" is crucial in contexts such as scientific research, business decision-making, and policy development, where accurate and reliable information is essential for making informed judgments.