data specificity

USAGE SUMMARY

'data specificity' is a correct and usable phrase in written English.
You can use it when referring to the degree of detail and specificity of a given set of data. For example, "The data specificity of the survey allowed us to accurately gauge consumer opinion on the issue."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

5 human-written examples

However, most of these features are hand-crafted descriptors, which are at a low semantic level, and also generic for different sound datasets without data specificity [4].

EURASIP Journal on Audio, Speech, and Music Processing

Other forms of data specificity (e.g., different environments or phenotypes used for assaying genetic interactions) are also strongly desirable to determine the robustness of results.

F1000Research

Information for cases alone does not allow calculation of sensitivity (the proportion of true cases correctly identified in the GPRD data), specificity (the proportion of individuals without the disease identified as such in the database), or negative predictive value.

British Journal of Clinical Pharmacology

To ensure a valid assessment of gene-gene and gene-environment interactions, standards are required for sample sizes, accuracy and precision for continuous data, specificity and sensitivity for discrete data and appropriate statistical methods.

Genome Medicine

Several previous meta-analyses [ 35– 38] have been performed, yielding variable conclusions, which may result from different methods and the underlying heterogeneity of exposure and health outcome data specificity and validity among published studies.

Cancer Causes and Control

Human-verified similar examples from authoritative sources

Similar Expressions

55 human-written examples

In this work we review the available data on specificity determinants of crystal (Cry) insecticidal proteins as the Bt toxins most well characterized and used in transgenic crops.

Journal of Invertebrate Pathology

The performance of the model is quantified with respect to the two criteria, namely coverage of experimental data and specificity of granular results.

Knowledge-Based Systems

These data confirm specificity of BSO treatment and demonstrate that glutathione depletion increases oxidative stress in adipocytes and inhibits adipogenesis.

Plosone

In contrast to the visual data, this specificity of auditory learning implies independent clocks for separate auditory features.

Plosone

These data indicate specificity of D-WAT for ASCs.

Cell Death and Differentiation

Based on these data, the specificity of both recombinant proteins was confirmed.

BMC Veterinary Research

Expert writing Tips

Best practice

When using "data specificity", clearly define the specific characteristics or parameters to which the data is tailored to ensure clear understanding.

Common error

Avoid using "data specificity" when referring to broadly applicable datasets. Ensure the data truly possesses unique, tailored characteristics.

Linguistic Context

The phrase "data specificity" functions as a noun phrase, typically used to describe the degree to which data is tailored or relevant to a particular context or purpose. Ludwig AI states that it's a correct and usable phrase in written English. The provided examples from Ludwig show its use in scientific and technical writing.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "data specificity" is a grammatically correct noun phrase used to describe the extent to which data is tailored for a particular purpose. As Ludwig AI confirms, it’s a usable and accurate phrase. Primarily found in scientific contexts, the phrase emphasizes the relevance and appropriateness of data for specific applications. While not exceedingly common, understanding its meaning and appropriate use is crucial for clear and precise communication in technical fields. Related phrases like "data granularity" or "data precision" can be considered depending on the nuance you want to convey.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data granularity

This term refers to the level of detail in the data, similar to specificity but emphasizing the fineness of the information.

data precision

This highlights the accuracy and exactness of the data, focusing on how precisely it represents the real-world phenomena it describes.

data relevance

This emphasizes how closely the data aligns with the specific purpose or question it's intended to address.

data particularity

This highlights the unique and distinct characteristics of the data, emphasizing its individual nature.

data resolution

Similar to granularity, this term describes the level of detail and clarity within the data, often used in the context of images or signals.

context-specific data

Emphasizes that the data is uniquely suited or tailored to a particular context or application.

highly specialized data

Focuses on the advanced or technical nature of the data, suggesting it's not generally applicable.

tailored data sets

This term indicates that the data has been modified or customized to fit a specific need or application.

purpose-built data

This emphasizes that the data was created with a specific goal in mind, ensuring its relevance to that purpose.

data focus

This highlights the concentrated nature of the data on a particular subject or area, limiting its scope but increasing its depth.

FAQs

How is "data specificity" used in scientific research?

In scientific research, "data specificity" refers to the extent to which data is tailored to answer a particular research question or to represent a specific phenomenon. High "data specificity" ensures that the collected information is relevant and minimizes extraneous variables, increasing the accuracy and reliability of findings.

What are some alternative terms for "data specificity"?

Depending on the context, you can use alternatives such as "data granularity", "data precision", or "data relevance" to convey a similar meaning. The choice of term depends on whether you want to emphasize the level of detail, accuracy, or pertinence of the data.

Why is "data specificity" important in machine learning?

"Data specificity" is crucial in machine learning because models trained on highly specific datasets are better at recognizing patterns and making accurate predictions within that particular domain. Using non-specific or generic data can lead to lower performance and less reliable results. It helps avoid overfitting to irrelevant information, and may improve "generalizability" to similar scenarios.

What factors determine the "data specificity" of a dataset?

Factors that influence the "data specificity" of a dataset include the selection criteria for data collection, the granularity of measurements, the pre-processing steps applied, and the inclusion of relevant contextual information. Careful consideration of these factors is necessary to achieve the desired level of "data specificity" for a particular application.