data applicability

USAGE SUMMARY

The phrase "data applicability" is correct and usable in written English.
It can be used when discussing the relevance or suitability of data for a specific purpose or context. Example: "The data applicability in this study is crucial for understanding the broader implications of our findings."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

3 human-written examples

An evaluation of SRTM 03″ data applicability in geomorphology and morphotectonic analysis is proposed, considering the morphometric parameters slope, aspect, surface roughness and isobase surface.

Computers & Geosciences

Evaluating the quality of scientific information used in regulatory decision making requires that judgments be made about data production processes, data reporting, analysis, and interpretation methods and data applicability relative to the goals of the decision-making activity in question.

Environmental Health Perspectives

(asking answerable questions, searching, appraising, analysis or synthesis, interpreting the data, applicability to individual patients or applying EBM in your day-to-day practice) F. What EBM concepts of terms do you feel you understand the least/most? 3. EBM training A. What was the most/least interesting or valuable thing you learnt in EBM why?

BMJ Open

Human-verified similar examples from authoritative sources

Similar Expressions

57 human-written examples

This will allow researchers to better judge the applicability of data from alternative models, and help reduce and refine the use of mice in infection biology research.

DMM Disease Models and Mechanisms

For the purpose of MIRE fundamental data elements applicability, the term open to public travel is consistent with 23 CFR 460.2(c).

Cornell University

Numerical examples with noise free and noisy data illustrate applicability and accuracy of the proposed method to some extent.

Applied Mathematical Modelling

This occurs when the parameter boundary found by the confidence method lies outside the hard limit boundary for a model parameter this could result from an issue with the signal-to-noise of the data, the applicability of the model to the data, systematic errors in the data, among other things.

Harvard University

Though the credibility of this novel approach was well established by validating its predictions against the experimental data, the applicability of this method and constants involved in this model, for other test cases was questionable.

Combustion and Flame

Our results suggest that seriation is a useful method for the analysis of gene expression data whose applicability should be further pursued.

Plosone

There are, however, two limitations that impact the NAMCS data's applicability and usefulness.

BMJ Open

These data suggest applicability of dendriworms for siRNA delivery into CNS tissues via sustained, convection-enhanced delivery.

ACS Nano

Expert writing Tips

Best practice

When assessing "data applicability", clearly define the specific context or purpose for which the data is being considered. This ensures a focused and relevant evaluation.

Common error

Avoid assuming "data applicability" in all scenarios. Always validate the data's suitability for each unique situation to prevent misinterpretations or incorrect conclusions.

Linguistic Context

The phrase "data applicability" functions as a noun phrase, often serving as the subject or object of a sentence. Ludwig examples show it describing the suitability or relevance of data for a specific purpose. The phrase highlights the potential for data to be used effectively in a given context. Ludwig AI confirms its correctness.

Expression frequency: Rare

Frequent in

Science

75%

Academia

15%

News & Media

10%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "data applicability" is a noun phrase used to assess the suitability and relevance of data for specific purposes. According to Ludwig, the phrase is grammatically correct, though it appears relatively rarely in diverse sources. Predominantly found in scientific and academic contexts, it emphasizes the effective use of data for achieving specific goals. Ludwig AI confirms its correctness and usability in written English.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data relevance

Focuses on how pertinent the data is to the matter at hand, changing the emphasis from ability to direct connection.

data suitability

Highlights the fitness of the data for a specific purpose, shifting from a general ability to a specific match.

data appropriateness

Emphasizes the data's properness for a given situation, rather than its inherent ability to be applied.

data utility

Focuses on the usefulness of the data, changing the perspective from its capability to its practical value.

data fitness for purpose

Directly addresses whether the data is good enough for the intended use, adding a layer of practical assessment.

data pertinence

Stresses the data's direct relation and significance to the issue, slightly formalizing the tone.

data value

Underlines the worth of the data, shifting the focus from mere applicability to inherent importance.

data effectiveness

Highlights how well the data achieves the intended outcome, adding a performance dimension.

data relevance and reliability

It emphasizes both the relevance and the trustworthiness of the data, adding a layer of assurance.

data practical use

Emphasizes how realistically the data can be implemented, underscoring usability.

FAQs

How do I assess "data applicability" in a research study?

Consider the study's objectives, methodology, and target population. Ensure the data aligns with these elements for accurate and meaningful results.

What factors affect "data applicability" in a business context?

Factors include the data's accuracy, timeliness, relevance to business goals, and compliance with industry standards. Evaluate these to ensure effective decision-making.

Which is a better term, "data relevance" or "data applicability"?

While both are similar, "data relevance" emphasizes the data's direct connection to a specific issue, while "data applicability" focuses on its suitability for a particular use. The choice depends on the intended emphasis.

How does "data applicability" differ from "data quality"?

"Data quality" refers to the accuracy and reliability of the data itself, while "data applicability" concerns its appropriateness for a specific purpose, even if the data is of high quality.