relevance of data

USAGE SUMMARY

The phrase "relevance of data" is correct and usable in written English.
You can use it whenever you are discussing or referring to the importance or significance of data in a particular context. For example, "The relevance of data is essential to understanding any given phenomenon."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

30 human-written examples

But campaigners question the relevance of data on premature babies, many of whom are premature precisely because they, or their mothers, are ill.

The Economist

Obviously, missing values are impairing the relevance of data.

Vietnam Journal of Computer Science

Dutch researchers have argued publicly and in academic debate for substantive restrictions on the clinical relevance of data.

Life Sciences, Society and Policy

First, some approach must be used to indicate the relevance of data packets, in order to allow the network to provide the expected transmission service.

EURASIP Journal on Wireless Communications and Networking

This guidance should provide a transparent and science-based method to assess the reliability and relevance of data on NP (eco) toxicity data.

Environmental Sciences Europe

Quality of information (QoI) in sensor networks measures information attributes such as precision, timeliness, completeness, and relevance of data ultimately delivered to users.

Pervasive and Mobile Computing

Human-verified similar examples from authoritative sources

Similar Expressions

30 human-written examples

Principal component analysis of the DESeq normalized data confirmed the relevance of the data.

BMC Genomics

We therefore have presented only 3-month data, as the relevance of the data after this point is questionable.

BMJ Open

We present a way of learning information about the relevance of the data, comparing this with the definition of the information by the medical expert.

International Journal of Medical Informatics

This definition arguably made the most sense in terms of both working with IMS's data collection strategy (see below) and maximizing the policy relevance of the data.

Plosone

This will probably allow the inclusion of kinetic data in clinical trials aimed at evaluating the prognostic relevance of these data.

British Journal of Cancer

Expert writing Tips

Best practice

When assessing research, explicitly state the criteria you used to determine the "relevance of data", ensuring transparency and replicability.

Common error

Avoid simply stating that data is relevant without explaining why it's relevant. Provide a clear connection between the data and the conclusion or argument you're making.

Linguistic Context

The phrase "relevance of data" functions as a noun phrase, typically serving as the subject or object of a sentence. It describes a quality or characteristic of data pertaining to its applicability and significance. Ludwig AI confirms this usage across numerous examples.

Expression frequency: Common

Frequent in

Science

70%

News & Media

15%

Formal & Business

15%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "relevance of data" is commonly used to emphasize the importance of data being pertinent and applicable to a specific context. Ludwig AI confirms its grammatical correctness and widespread usage across scientific, news, and business domains. Ensuring the "relevance of data" is crucial for informed decision-making and accurate analysis. By understanding the factors that affect data relevance, such as source reliability and methodological soundness, you can improve the quality and usefulness of your analyses. When using this phrase, always justify why the data is relevant to avoid assumptions and strengthen your arguments.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Data applicability

Focuses specifically on the capacity of data to be applied to a particular situation or purpose.

Data significance

Emphasizes the importance and noteworthiness of the data.

Data importance

Highlights the value and necessity of the data.

Data pertinence

Stresses the direct relationship and importance of the data to a specific matter.

Data appropriateness

Indicates that the data is suitable or fitting for a particular purpose.

Value of data

Focuses on the inherent worth and usefulness of the data.

Usefulness of data

Highlights the practical utility and helpfulness of the data.

Data validity

Emphasizes the accuracy and trustworthiness of the data.

Data reliability

Focuses on the consistency and dependability of the data.

Data adequacy

Highlights whether data is sufficient or satisfactory for a particular need.

FAQs

How do I determine the "relevance of data" in research?

Assess the data's direct relationship to the research question, methodological soundness, and contextual appropriateness. Consider if the data effectively addresses the core issues being investigated.

What factors can affect the "relevance of data"?

Factors include the data's age, source reliability, methodology used in its collection, and potential biases. Outdated or poorly sourced data might lack "data validity", impacting its relevance.

How can I improve the "relevance of data" in my analysis?

Ensure your data aligns closely with your objectives, use rigorous collection methods, and clearly articulate the data's connection to your conclusions. Triangulating data from multiple sources can also enhance its "data reliability".

What's the difference between "relevance of data" and "importance of data"?

"Relevance of data" refers to how directly the data relates to a specific question or purpose, while "importance of data" describes its overall significance or value. Data can be important in a general sense but not directly relevant to a particular analysis.