neutral data

USAGE SUMMARY

The phrase "neutral data" is correct and usable in written English.
It can be used in contexts where data is presented without bias or influence, often in research or analysis. Example: "The study aimed to present neutral data to ensure that the findings were not skewed by personal opinions."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

23 human-written examples

But the researchers found just as much bias in the supposedly more neutral data.

MIT Technology Review

This session explores how politics and morality shape the usefulness of neutral data sets.

Massachusetts Institute of Technology

This paper describes an approach to integrate key product realization activities using neutral data representation.

Robotics and Computer-Integrated Manufacturing

The input models are stored in neutral data formants: IGES or STEP.

Archives of Civil and Mechanical Engineering

In this scheme, a neutral data file representing product features is used as the data source for generating the product feature code.

Journal of Materials Processing Technology

A neutral data model representing a mechatronic system is essential for efficient collaboration between vehicle manufacturers and suppliers in the design stage, for simultaneous use of simulation systems, and for data exchange between different CAx domains.

IFAC Proceedings Volumes

Human-verified similar examples from authoritative sources

Similar Expressions

37 human-written examples

Many on the right want the term to apply only to people who openly treat other races as the enemy, while excusing the obvious and classically coded racial resentment that almost universally accompanies supposedly neutral, data-based claims of racial disparities.I think the term "racial prejudice" evades a lot of these pitfalls.

The Economist

Ground is an open-source, vendor-neutral data context service, developed in collaboration with a community of contributors.

University of California, Berkeley

Genomic data modeling lessons provide novice biology data modelers with enriched principles from content-neutral data modeling techniques.

Information Systems

A Cobb Douglas cost function is also computed, providing elasticity parameters for both economies of density, through seat capacity, and distance as they would be determined from clean airline-neutral data.

Transportation Research Part E: Logistics and Transportation Review

For example, we think that carrier-neutral data centers is an area that's defensible and poised for exciting growth.

TechCrunch

Expert writing Tips

Best practice

When presenting "neutral data", clearly define the methodology used to collect and analyze the data to ensure transparency and credibility.

Common error

Be cautious of assuming data is automatically "neutral". Always critically evaluate the sources and methods to identify potential biases or limitations that might influence the data's interpretation.

Linguistic Context

The phrase "neutral data" functions primarily as a noun phrase, where the adjective "neutral" modifies the noun "data". It describes data that is presented without bias or prejudice. Ludwig AI confirms its usability.

Expression frequency: Uncommon

Frequent in

Science

34%

News & Media

33%

Academia

33%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "neutral data" is a grammatically sound term used to describe unbiased information. Ludwig AI confirms its correctness and usability. While "neutral data" is most commonly found in scientific, news, and academic contexts, it's essential to remember that data isn't inherently neutral; critical evaluation is always necessary. Alternatives such as "unbiased data" and "objective data" can be used depending on the specific emphasis desired. By maintaining transparency in data collection and analysis, we enhance the reliability and credibility of the information presented.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Unbiased data

Replaces "neutral" with "unbiased", emphasizing the absence of prejudice.

Impartial data

Uses "impartial" instead of "neutral", highlighting fairness and objectivity.

Objective data

Emphasizes that the data is based on facts and without personal feelings or interpretations.

Fair data

Focuses on the fairness aspect of the data, indicating equitable treatment.

Agnostic data

Suggests the data is not biased toward any particular system or viewpoint.

Unslanted data

Replaces "neutral" with "unslanted" to mean not subjective.

Data free from bias

More explicitly states the absence of bias in the data.

Data without prejudice

Directly states the data is free from preconceived notions or biases.

Non-partisan data

Indicates the data is not influenced by any political party.

Even-handed data

Emphasizes the balanced and equitable nature of the data.

FAQs

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

You can use "neutral data" to describe information that is presented without bias or influence, as in "The study aimed to present neutral data to ensure that the findings were not skewed by personal opinions".

What are some alternatives to saying "neutral data"?

You can use alternatives like "unbiased data", "impartial data", or "objective data" depending on the context.

Is "neutral data" always reliable?

While "neutral data" aims to be free from bias, it's essential to critically evaluate the data's source and methodology to ensure its reliability. Data can be neutral but still contain errors or be misinterpreted.

What is the difference between "neutral data" and "objective data"?

"Neutral data" implies a lack of bias or influence in the presentation, while "objective data" focuses on being factual and verifiable, independent of personal feelings or interpretations. The terms are often used interchangeably, but objectivity emphasizes verifiability.