suspect data

USAGE SUMMARY

The phrase "suspect data" is correct and usable in written English.
It can be used when referring to data that is questionable, unreliable, or potentially flawed in some way. Example: "The results of the experiment were based on suspect data, leading to inconclusive findings."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

21 human-written examples

In the modern news cycle, suspect data can spread all too quickly.

The Washington Post

The comparisons are particularly interesting in cases where the agreement is poor, and may point to some interesting anomalies or suspect data.

Stanford University

"The city adopted a policy of indirect racial profiling by targeting racially defined groups for stops based on local crime suspect data," she wrote.

The New York Times

New York City, she argued, had "adopted a policy of indirect racial profiling by targeting racially defined groups for stops based on local crime suspect data".

Independent

Boeing's anti-stall software on a doomed Ethiopian Airlines jet re-engaged up to four times after the crew initially turned it off due to suspect data from an airflow sensor, two people familiar with the matter have said.

The Guardian - Business

She further described the argument as circular: The fact that the stops reflected similar percentages as the crime suspect data, she noted, could show that the officers were influenced by awareness of the trends reflected in those data.

The New York Times

Human-verified similar examples from authoritative sources

Similar Expressions

39 human-written examples

This is rarely useful if you suspect data-dependent problem.

WikiHow

Moreover, an outlier analysis was utilized to detect suspected data points.

International Journal of Greenhouse Gas Control

Moreover, to detect the outlier and/or suspected data point (s) available in the dataset, a reliable approach (Leverage strategy) is implemented in the present study.

Journal of the Taiwan Institute of Chemical Engineers

As further TalkTalk fraud victims came forward this week – one losing almost £10,000 – it has emerged that a manager in the chief executive's office was warned of a suspected data breach in July 2013, more than a year before the first evidence emerged that part of the firm's database had been leaked.

The Guardian - Business

Last June, a task force found that 94 papers co-authored by former cancer researcher Friedhelm Herrmann between 1988 and 1992 contained likely falsifications or instances of suspected data manipulation (ScienceNOW, 20 June 2000).

Science Magazine

Expert writing Tips

Best practice

When using the phrase "suspect data", clearly articulate the specific reasons for questioning the data's validity. Providing context helps your audience understand the potential issues and limitations.

Common error

Avoid using "suspect data" as a blanket term without specific justification. Always provide clear reasons why the data is considered suspect, such as flawed collection methods, potential bias, or inconsistencies with other reliable sources.

Linguistic Context

The phrase "suspect data" functions primarily as a noun phrase, where "suspect" acts as an adjective modifying the noun "data". This identifies data that is potentially unreliable or questionable. As Ludwig AI confirms, the phrase is considered grammatically correct.

Expression frequency: Common

Frequent in

Science

41%

News & Media

38%

Formal & Business

8%

Less common in

Academia

5%

Wiki

3%

Encyclopedias

0%

Ludwig's WRAP-UP

The phrase "suspect data" is a commonly used term to describe information of questionable reliability. As Ludwig AI confirms, the phrase is grammatically correct and frequently encountered across various fields, with science and news being the most prevalent. When using "suspect data", it's crucial to articulate why the data is considered questionable, providing context and specific reasons for doubt. Alternatives such as "questionable data", "unreliable data", and "flawed data" can be used depending on the specific nuances you wish to convey. Understanding the connotations and usage patterns of "suspect data" ensures clear and accurate communication, especially in contexts where precision is paramount.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Questionable data

Replaces "suspect" with a more direct term, emphasizing doubt about the data's validity.

Dubious data

Similar to "questionable data", highlighting uncertainty about the data's reliability.

Unreliable data

Focuses on the lack of dependability of the data.

Flawed data

Emphasizes the presence of errors or imperfections in the data.

Compromised data

Indicates that the data's integrity has been violated or weakened.

Contaminated data

Suggests that the data has been polluted or corrupted by extraneous elements.

Invalid data

Highlights that the data does not conform to expected standards or formats.

Erroneous data

Focuses on the presence of errors or inaccuracies within the data.

Inaccurate data

Similar to "erroneous data", underscoring the lack of precision in the information.

Data of doubtful quality

Rephrases the concept to explicitly address concerns about the data's quality.

FAQs

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

You can use "suspect data" to describe information that may be unreliable or inaccurate. For example, "The conclusions were drawn from what appeared to be "suspect data", so they should be interpreted with caution."

What are some alternatives to saying "suspect data"?

Alternatives include "questionable data", "unreliable data", or "flawed data". The best choice depends on the specific context and the reason for doubting the data.

When should I consider data to be "suspect"?

Data should be considered "suspect" when there are known issues with its collection, processing, or source. This might include biased sampling, measurement errors, or inconsistencies with other reliable information.

What should I do if I encounter "suspect data" in my research?

If you encounter "suspect data", document your concerns and attempt to verify the information using alternative sources or methods. If verification isn't possible, acknowledge the limitations in your analysis and explain why the data's reliability is questionable.