new data

USAGE SUMMARY

The phrase "new data" is grammatically correct and commonly used in written English.
You can use "new data" to refer to recently acquired or updated information in a sentence. Example: The researchers analyzed the new data from the latest clinical trial and found promising results.

✓ Grammatically correct

News & Media

Academia

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

New data is added each day.

The New York Times

Back to Pew's new data.

The Washington Post

New data bring new evidence.

Nature

New data are added sporadically.

Harvard University

He clicked to a new data set.

The New Yorker

The new data support their thinking.

The New York Times

Nonetheless, the new data is interesting.

The Guardian

But the new data are startling.

The New York Times

This new data sheds some light.

The Washington Post

New data shows the strategy isn't working.

The New York Times

But there's new data that can help.

Harvard Business Review

Expert writing Tips

Best practice

Use "new data" when you want to emphasize the recency and potential impact of information on existing knowledge.

Common error

Avoid drawing definitive conclusions from preliminary "new data". Acknowledge its limitations and the need for further validation before making strong claims.

Linguistic Context

The phrase "new data" functions primarily as a noun phrase, where "new" acts as an adjective modifying the noun "data". As evidenced by Ludwig, the phrase commonly introduces updated or recently acquired information.

Expression frequency: Very common

Frequent in

News & Media

40%

Academia

30%

Science

20%

Less common in

Formal & Business

5%

Encyclopedias

3%

Wiki

2%

Ludwig's WRAP-UP

In summary, "new data" is a versatile noun phrase used to introduce recently acquired information. Ludwig AI confirms its grammatical correctness and wide usage across various contexts, including news, academia, and science. When using "new data", it's important to cite sources, avoid overstating preliminary findings, and consider ethical implications. Alternatives like "recent information" or "updated statistics" may be suitable depending on the specific context. The phrase's high frequency and broad applicability make it a valuable tool for clear and effective communication.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

recent information

Focuses on the recency of the information.

updated statistics

Specifically refers to numerical data that has been revised.

fresh insights

Emphasizes the novel and perceptive nature of the information.

newly acquired facts

Highlights the acquisition process of the facts.

latest findings

Refers to the results of a study or investigation.

emerging trends

Focuses on patterns that are becoming apparent.

current intelligence

Implies information that is up-to-date and relevant.

novel discoveries

Emphasizes the originality and groundbreaking nature of the findings.

modern analytics

Highlights the advanced methods used to process the data.

breaking developments

Refers to significant and recent events or changes.

FAQs

How can I effectively present "new data" in a report?

When presenting "new data", ensure it is clearly labeled, properly sourced, and contextualized within the existing body of knowledge. Use visuals like charts and graphs to enhance understanding.

What is the difference between "new data" and "existing data"?

"New data" refers to recently acquired or updated information, while "existing data" is previously collected information that is already available.

How often should "new data" be integrated into decision-making processes?

The frequency of integrating "new data" depends on the field and the rate at which new information becomes available. In rapidly evolving fields, frequent updates are crucial.

What are the ethical considerations when using "new data"?

When using "new data", it is important to consider privacy, security, and potential biases. Ensure that the data is used responsibly and ethically, respecting individuals' rights and avoiding discriminatory outcomes.