impartial data

USAGE SUMMARY

"impartial data" is a correct and usable phrase in written English.
You can use this phrase when referring to data that is free from bias or opinion. For example, "The research team relied on impartial data to draw their conclusions."

✓ Grammatically correct

News & Media

Science

Academia

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

8 human-written examples

In time, the introduction of more impartial data will surely lead to a more sophisticated public debate.

The Guardian - Opinion

I wasn't involved in the study, so I can't argue with any authority that there's anything amiss, but there's no easily accessible impartial data about it to alleviate my suspicions either.

The Guardian

We argue that it is not.Related items Decoupling 1: Emerging Asia: An independent streakJan 24th 2008 The markets: It's rough out thereJan 24th 2008To some extent, our qualified optimism is borne out by impartial data.

The Economist

A focus on data versus profits is key, as is the goal of providing impartial data to all stakeholders.

TechCrunch

A focus on data versus profits is key, as is the goal of providing impartial data to all stakeholders.

TechCrunch

In a post issued this morning, the company's Vice President of Communications and Public Policy Director of Research outlined the plan and hammered home its focus on impartial data collection.

TechCrunch

Human-verified similar examples from authoritative sources

Similar Expressions

52 human-written examples

There's still room for a third-party, like Facebook or even a startup that offers an impartial, data-driven "Yelp/Zagat for Apps," Hiro tells me.

TechCrunch

Conducted once every five years, the census of agriculture is a complete count of all U.S. farms, ranches, and those who operate them; it is the only source of uniform, comprehensive, and impartial agriculture data for every state and county in the nation.

Cornell University

Esfandiary said public dissemination of the documents is important because regulatory agencies cannot properly protect public and environmental health without having accurate, comprehensive, and impartial scientific data, and the documents show that has not been the case with Monsanto's Roundup herbicide and the active ingredient glyphosate.

Huffington Post

The Yemen Data Project has chosen to focus exclusively on the impact of the air campaign, rather than fighting on the ground, citing the difficulty of gaining access to frontline fighting and impartial information.

The Guardian

The global scope of our aim favors integration over reduction and is ideally based on a data-driven approach that ensures impartial interpretation of data sets as a whole.

Arthritis Research and Therapy

Expert writing Tips

Best practice

Ensure your data collection methods are transparent and free from bias to maintain the integrity of "impartial data".

Common error

Don't assume that "impartial data" is inherently objective. Impartiality refers to the unbiased presentation and analysis of data, while objectivity refers to the inherent truth and verifiability of the data itself. Data can be presented impartially but still be based on subjective measurements or interpretations.

Linguistic Context

The phrase "impartial data" functions as an adjective phrase modifying the noun "data". It specifies the quality of the data, emphasizing its lack of bias or prejudice. As Ludwig AI explains, this signals to the audience that the information presented is free from subjective influence.

Expression frequency: Uncommon

Frequent in

News & Media

45%

Science

35%

Academia

10%

Less common in

Formal & Business

5%

Reference

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "impartial data" is a useful way to emphasize the objectivity and reliability of information. Ludwig AI indicates that it’s grammatically correct and is understood to mean data free from bias or opinion. While not as common as some other phrases, it appears frequently in news, scientific, and academic contexts. When using "impartial data", ensure that the sources are credible, and collection methods are transparent. Be aware of the distinction between impartiality and objectivity. Consider alternatives such as "unbiased information" or "objective facts" depending on the specific nuance you wish to convey.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

unbiased information

Focuses on the absence of prejudice in the presented information, rather than the data itself.

objective facts

Highlights that the data represents verifiable truths, distancing it from subjective interpretation.

neutral statistics

Emphasizes the statistical nature of the data and its neutrality in presentation.

fair figures

Conveys a sense of equity and justice in how the data is represented and collected.

equitable metrics

Highlights the just and unbiased nature of the data used for measurement.

unslanted analysis

Focuses on the absence of a particular viewpoint or bias in the interpretation of the data.

balanced results

Indicates that the data presents a comprehensive view without favoring any particular outcome.

independent findings

Stresses that the data and conclusions are free from external influence or control.

non-partisan evidence

Emphasizes the lack of political alignment or bias in the data presented as evidence.

detached observations

Highlights the lack of personal involvement or emotional connection in gathering the data.

FAQs

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

You can use "impartial data" to emphasize the unbiased nature of information. For example, "The study relied on "impartial data" to draw its conclusions."

What's the difference between "impartial data" and "objective data"?

"Impartial data" refers to data that is presented without bias, while "objective data" is data that is based on factual measurements and verifiable observations. You can have impartially presented subjective data, and biased presentations of objective data.

What are some alternatives to "impartial data"?

Alternatives include "unbiased information", "objective facts", or "neutral statistics", depending on the specific context.

Where can I find sources of "impartial data"?

Look for data from reputable sources such as academic institutions, government agencies, and non-profit organizations that have a track record of unbiased reporting. Scrutinize the data collection methods to ensure impartiality.