reliability of data

USAGE SUMMARY

The phrase "reliability of data" is correct and usable in written English.
It can be used when discussing the trustworthiness or accuracy of data in various contexts, such as research, analysis, or data management. Example: "The reliability of data is crucial for making informed decisions in scientific research."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

This sets her apart from her predecessors in the Bloomberg administration, among whom the reliability of data to measure educational accomplishment was an article of faith.

The New Yorker

A user starting the Securetax interview gets a screenful of fine print disclaiming any assurance of security or reliability of data.

The New York Times

Editor's Note: We would like to alert readers that the reliability of data presented in this manuscript has been the subject of criticisms, which we are currently considering.

Nature

These figures are subject to revision: there are questions over the reliability of data from China, in particular.

The Economist

Scott Taub, the Securities and Exchange Commission's acting chief accountant, told a House Financial Services subcommittee that the agency believes using interactive financial data will heighten access to corporate information and improve the reliability of data.

The New York Times

Pushing energy efficiency to someone who doesn't believe in planning (exemplified by Iraq), or even the reliability of data (say, predicting an end to fossil fuels), is talking to a wall.

The New York Times

A number of criteria listed under Accessibility have to do with the reliability of data publishing and consumption apparatus as used in production.

Cornell University

They will also gain experience in assessing the reliability of data sources, and they will search a wide range of publicly available data.

University of California, Berkeley

MPNC-MAC provided higher throughput and reliability of data transmission.

EURASIP Journal on Wireless Communications and Networking

Finally, Veracity refers to trustworthiness and reliability of data.

Journal of Big Data

It affects the stability and reliability of data transmission.

EURASIP Journal on Wireless Communications and Networking

Expert writing Tips

Best practice

When discussing research findings, clearly state the methods used to ensure and assess the "reliability of data". This enhances the credibility of your conclusions.

Common error

Avoid claiming absolute "reliability of data" without providing evidence of rigorous quality control measures. Always acknowledge potential limitations and sources of error.

Linguistic Context

The phrase "reliability of data" functions as a noun phrase, typically serving as the subject or object of a sentence. It refers to the quality of data being dependable and consistent. Ludwig AI confirms its correct usage in diverse contexts.

Expression frequency: Very common

Frequent in

Science

45%

Academia

25%

News & Media

20%

Less common in

Formal & Business

5%

Wiki

3%

Encyclopedias

2%

Ludwig's WRAP-UP

The phrase "reliability of data" is a noun phrase used to emphasize the trustworthiness and consistency of information. Ludwig AI affirms its correct usage. It is most frequently encountered in scientific and academic contexts, signifying the importance of data quality in research and analysis. When using this phrase, ensure that you can substantiate claims of reliability with documented methods and quality control measures. Related phrases like "data accuracy" or "data validity" can be used depending on the specific aspect of data quality you wish to highlight. The overall goal is to ensure the audience that the data is dependable and suitable for its intended purpose.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data accuracy

Focuses specifically on the correctness of the data.

data validity

Emphasizes whether the data measures what it's intended to measure.

data trustworthiness

Highlights the degree to which the data can be relied upon.

data dependability

Stresses the consistency and reliability over time.

data integrity

Focuses on the completeness and incorruptibility of the data.

data soundness

Indicates the quality and robustness of the data.

data precision

Highlights the level of detail and accuracy in the data.

data consistency

Emphasizes the uniformity and lack of contradictions within the data.

data verification

Focuses on the process of confirming the accuracy of the data.

data authenticity

Highlights the genuineness and lack of falsification in the data.

FAQs

How can I ensure the "reliability of data" in my research?

Employ robust data collection methods, implement quality control procedures, and conduct thorough data validation. Document these steps to demonstrate the rigor of your process.

What does "data validity" mean, and how does it relate to the "reliability of data"?

Data validity refers to whether the data accurately measures what it intends to measure. While related, "reliability of data" focuses on the consistency and reproducibility of the data.

What are some alternatives to using the phrase "reliability of data"?

Depending on the context, you can use alternatives such as "data accuracy", "data trustworthiness", or "data integrity".

Why is the "reliability of data" important in decision-making?

Reliable data ensures that decisions are based on accurate and consistent information, reducing the risk of errors and improving the likelihood of successful outcomes. Unreliable data can lead to flawed conclusions and poor decisions.