fabricated data

USAGE SUMMARY

The phrase "fabricated data" is correct and usable in written English.
It can be used to refer to data that has been falsified or made up, often in the context of research or reporting. Example: "The study was discredited after it was revealed that the researchers had used fabricated data to support their conclusions."

✓ Grammatically correct

News & Media

Science

Encyclopedias

Human-verified examples from authoritative sources

Exact Expressions

57 human-written examples

But his fame crumbled when scientist bloggers began posting signs of fabricated data.

The New York Times

Purely fabricated data was submitted for another 200 households, she estimated.

The New York Times

By some estimates between 1% and 2% of papers now contain fabricated data and many more are just plain wrong.

The Guardian

Dr. Schön, who was fired last week after an independent investigatory panel found that he had manipulated and fabricated data, had claimed transistors with single molecules as switches.

The New York Times - Science

The government contended that the executives fabricated data and lied to investors about the shortfalls and loaded false information onto a company computer system.

The New York Times

Had they spotted the fabricated data, scientists around the world would have been spared considerable time and effort trying to reproduce the experiments.

The New York Times - Science

The editors of each journal has said in the Hwang case that the expert reviewers who scrutinize submitted manuscripts cannot be expected to detect fabricated data.

The New York Times

A molecular biologist and Nobel laureate, Dr. Baltimore became embroiled in charges that a colleague he had worked with had fabricated data in a report.

The New York Times

For the previous decade, he had fabricated data in papers he published on obesity, menopause and aging.

The New York Times - Science

The team retracted its findings in 2001 after an investigation showed that a scientist on the team had fabricated data.

Encyclopedia Britannica

You've probably heard about the accusations leveled against climate researchers — allegations of fabricated data, the supposedly damning e-mail messages of "Climategate," and so on.

The New York Times

Expert writing Tips

Best practice

When discussing research integrity, use "fabricated data" to clearly convey the deliberate creation of false information, differentiating it from unintentional errors or biases.

Common error

Avoid using "fabricated data" interchangeably with "falsified data". Fabrication refers to creating data from scratch, while falsification involves manipulating existing data. Understanding this distinction ensures accuracy in describing research misconduct.

Linguistic Context

The phrase "fabricated data" functions as a noun phrase, where the adjective "fabricated" modifies the noun "data". Ludwig AI confirms that this phrase is correct and usable in written English. The primary grammatical function is to describe data that has been intentionally created or invented, rather than collected or observed.

Expression frequency: Very common

Frequent in

Science

38%

News & Media

59%

Encyclopedias

2%

Less common in

Formal & Business

1%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "fabricated data" is a commonly used and grammatically correct phrase that refers to data intentionally created or invented, especially in contexts involving research misconduct. Ludwig AI underscores the term's validity and usability. It appears frequently in scientific and news media sources, indicating its importance in discussions of academic integrity and research ethics. Related terms include "falsified data" and "false data", each carrying nuanced implications. When using the phrase, it's crucial to distinguish between fabrication (creating data) and falsification (manipulating data) to maintain accuracy and clarity.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

falsified data

Focuses on the act of altering or manipulating existing data to create a false impression.

fraudulent data

Specifically indicates that the data is intended to deceive, often in a legal or financial context.

false data

A more general term indicating that the data is not true, without necessarily implying intentional creation.

invented data

Emphasizes the creation of data from nothing, suggesting a more imaginative process.

deceptive data

Highlights the data's ability to mislead or create a false impression.

made-up data

An informal term indicating the data was created without a basis in reality.

concocted data

Suggests the data was cleverly or artfully invented, possibly with deceptive intent.

spurious data

Highlights the illegitimacy or lack of validity of the data.

counterfeit data

Draws a parallel to fake or imitation goods, emphasizing the deceptive nature of the data.

erroneous data

Indicates the data contains errors and may be incorrect, though not necessarily intentionally.

FAQs

How is "fabricated data" different from "falsified data"?

"Fabricated data" refers to data that is completely invented, while "falsified data" involves manipulating existing data. For example, creating survey responses out of thin air is fabrication, whereas altering collected responses is falsification.

What are some alternatives to saying "fabricated data"?

Depending on the context, you could use alternatives like "falsified data", "false data", or "invented data".

In what contexts is the term "fabricated data" commonly used?

The term is frequently used in discussions of scientific research, academic integrity, and data analysis, particularly when addressing issues of fraud or misconduct. It's common in news reports about retracted studies and investigations into research irregularities.

What are the consequences of using "fabricated data" in research?

Using "fabricated data" can lead to severe repercussions, including retraction of publications, loss of funding, damage to reputation, and legal penalties. It undermines the credibility of research and can have far-reaching implications in various fields.