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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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soundness of information

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "soundness of information" is correct and usable in written English.
It can be used when discussing the reliability, accuracy, or validity of information in various contexts, such as research, data analysis, or decision-making. Example: "The soundness of information presented in the report is crucial for making informed decisions."

✓ Grammatically correct

Clinical Epidemiology

Journal of Big Data

BMJ Quality and Safety

Database : the journal of biological databases and curation

Asia-Pacific Science Education

BMC Family Practice

Forbes

Global Health Action

Huffington Post

SERIEs

WikiHow

BMC International Health and Human Rights

BMC Pediatrics

The Economist

The New York Times

The New Yorker

The Guardian

Encyclopedia Britannica

TechCrunch

Information Sciences

Journal of Systems Architecture

Robotics and Computer-Integrated Manufacturing

Electronic Notes in Theoretical Computer Science

Procedia Engineering

International Journal of Mechanical and Materials Engineering

Environmental Systems Research

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

13, 14 The item bank consists of 29 multiple-choice questions or items that can be applied to multiple study designs and covers eleven domains: sample definition and selection, interventions/exposure, outcomes, creation of treatment groups, blinding, soundness of information, follow-up, analysis comparability, analysis outcome, interpretation, and presentation and reporting.

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

However, the removal of contradictory data from a noisy dataset will increase the incompleteness in the dataset thereby reducing the soundness of any information from such set of data.

Contradictory data undermines the soundness of the information from a noisy dataset.

Next we discuss strategies for analysing case study data and the scientific soundness of such information, ending with a discussion of the need for case studies to enhance the scientific understanding of quality improvement.

A number of the quality checks verify the completeness and soundness of different parts of information in a record.

We argued that this was critical in ensuring that the propositions were sound and we based this argument on the high correlation between questions that sought basic information and soundness of argument (r = 0.79, p = 0.06).

We conceive of trust as a belief in the soundness of a person, issue, or information source while distrust is the lack of such belief.

The Securities and Exchange Commission should not be a candidate, since the culture of that agency is one of information disclosure, not safety and soundness.

News & Media

Forbes

Collection and processing of data was observed to estimate the soundness of the available outcome data.

Due to the complicated nature of life these days, correctness of information, thoroughness of processing, precision of interpretation and soundness of judgment are, in most situations today, far more important than the simplest and fastest route to a judgment.

News & Media

Huffington Post

Correlations and predictive power Correlations with other survey variables may sometimes provide information about the soundness of expectation answers.

Science

SERIEs
Show more...

Expert writing Tips

Best practice

In data analysis, ensure data cleaning and validation processes are robust to maintain the "soundness of information" used for decision-making.

Common error

Avoid basing decisions solely on information from one source. Cross-validate data from multiple, independent sources to ensure the "soundness of information" and mitigate bias.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

85%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "soundness of information" functions as a noun phrase that describes the quality and reliability of data or facts. As Ludwig AI confirms, it's usable in written English, often emphasizing the accuracy and validity of information.

Expression frequency: Common

Frequent in

Science

30%

News & Media

25%

Formal & Business

20%

Less common in

Encyclopedias

10%

Wiki

8%

Reference

7%

Ludwig's WRAP-UP

In summary, "soundness of information" is a valid noun phrase used to emphasize the reliability, accuracy, and validity of data. As Ludwig AI points out, it is grammatically correct and frequently used in academic, scientific, and professional contexts. To enhance clarity, consider alternatives like "reliability of data" or "accuracy of data". Remember to cross-validate information from multiple sources to ensure its soundness and avoid over-reliance on single sources. Understanding these nuances will help you communicate more effectively and ensure that decisions are based on credible data.

FAQs

How can I assess the "soundness of information"?

To evaluate the "soundness of information", consider the source's credibility, methodology, potential biases, and whether the information is consistent with other reliable sources. Verifying information from multiple angles helps ensure its reliability.

What are some alternatives to "soundness of information"?

You can use alternatives like "reliability of data", "validity of data", or "accuracy of data" depending on the specific aspect you want to emphasize.

Why is the "soundness of information" important?

The "soundness of information" is crucial because it directly impacts the quality of decisions made based on that information. Unsound information can lead to flawed conclusions and poor outcomes.

What factors affect the "soundness of information"?

Factors that affect the "soundness of information" include the data collection methods, potential biases in the data, the qualifications of the source, and the presence of errors or inconsistencies. Regularly evaluating these factors helps maintain data quality.

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Source & Trust

85%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: