data relevance

USAGE SUMMARY

The phrase "data relevance" is correct and usable in written English.
It can be used when discussing the importance or significance of data in a particular context, such as research, analysis, or decision-making. Example: "In our study, we must ensure that the data relevance is maintained to draw accurate conclusions."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

17 human-written examples

The age of data is one of the factors usually used to assess data relevance, typically making new information more relevant to the current search.

BMC Medical Informatics and Decision Making

In the Pew data, relevance (almost 50%) and technical issues together account for nearly 80% of the reason given for not having broadband at home.

Harvard Business Review

Ranasinghe, J. A., Stein, E. D., Miller, P. E. & Weisberg, S. B. Performance of two southern California benthic community condition indices using species abundance and presence-only data: relevance to DNA barcoding.

Nature

Evaluation of data relevance, reliability and contribution to uncertainty is crucial in regulatory health risk assessment if robust conclusions are to be drawn.

Regulatory Toxicology and Pharmacology

Various reports make recommendations for improving the quality of risk assessments and different criteria catalogues have been published to support evaluation of data relevance and reliability.

Regulatory Toxicology and Pharmacology

The concept that bridges the gap between the data and the model is called Domain of Data Relevance and corresponds to a physical area in the network where a given piece of data is relevant.

Transportation Research Part C: Emerging Technologies

Human-verified similar examples from authoritative sources

Similar Expressions

43 human-written examples

Highly adaptable CEOs regularly plug into broad information flows: They scan wide networks and diverse sources of data, finding relevance in information that may at first seem unrelated to their businesses.

Harvard Business Review

To make use of all the data, binary relevance is a simple method that performs well.

Journal of Cheminformatics

Clinical data of relevance were extracted from patient files.

British Journal of Cancer

These data have relevance to the development of cellular microenvironments with improved functionality.

ACS Applied Materials & Interfaces

This is consistent with our data suggesting relevance of CN in load-dependent SERCA regulation.

Basic Research in Cardiology

Expert writing Tips

Best practice

In research papers, explicitly state how you assessed "data relevance" to ensure transparency and reproducibility.

Common error

Avoid asserting "data relevance" without providing clear evidence or reasoning. Always substantiate claims with specific examples or analyses.

Linguistic Context

The phrase "data relevance" functions as a noun phrase, typically acting as the subject or object of a sentence. Ludwig examples show it modifying verbs, such as 'evaluation of "data relevance"' and being a subject of discussion, as in 'To enhance "data relevance", consideration...' Ludwig AI confirms the phrase is correct and usable in written English.

Expression frequency: Rare

Frequent in

Science

75%

News & Media

12%

Formal & Business

13%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "data relevance" is a grammatically correct and usable noun phrase that emphasizes the importance and suitability of data in specific contexts. While Ludwig AI confirms its validity, it appears with relative infrequency in diverse contexts like science, news, and business, with a pronounced prominence in scientific literature. When using this phrase, clarity is paramount; always specify the context to which the data pertains. Alternatives such as "data usefulness" or "data significance" can be employed depending on the specific nuance you wish to convey.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data usefulness

Focuses on the practical application and helpfulness of the data.

data importance

Emphasizes the significance and weight of the data.

data significance

Highlights the noteworthiness and impact of the data.

data pertinence

Stresses the direct connection and applicability of the data to a specific situation.

data suitability

Indicates how well the data fits a particular purpose or requirement.

data appropriateness

Highlights whether the data is fitting and proper for a particular context.

data adequacy

Focuses on whether the data is sufficient to fulfill a certain need or requirement.

data value

Emphasizes the worth and merit of the data.

data interest

Focuses on the data's capability to attract attention and curiosity.

data utility

Highlights the data's capacity to provide benefit or service.

FAQs

How do I determine the "data relevance" for my research?

Consider the data's source, age, and applicability to your research question. Ensure it directly addresses the variables and outcomes you're investigating.

What makes "data relevance" different from data reliability?

"Data relevance" refers to the data's suitability for a specific purpose, while reliability concerns its consistency and accuracy. Data can be reliable but irrelevant, and vice versa.

What are some alternatives to the phrase "data relevance"?

You can use alternatives like "data usefulness", "data importance", or "data significance" depending on the context.

Why is assessing "data relevance" important in decision-making?

Assessing "data relevance" ensures that decisions are based on information that is directly related to the problem at hand, preventing the use of extraneous or misleading data.