trustworthiness of data

USAGE SUMMARY

The phrase "trustworthiness of data" is correct and usable in written English.
It can be used when discussing the reliability and credibility of data in various contexts, such as research, analytics, or information systems. Example: "Before making any decisions, we need to assess the trustworthiness of the data we have collected."

✓ Grammatically correct

Science

Academia

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

26 human-written examples

How do we reliably know the trustworthiness of data, algorithms, and models?

Cornell University

Central to this is the notion of trust – how do we reliably know the trustworthiness of data, algorithms, and models?

Cornell University

Qualitative methods informed by sociocultural and expansive learning theories countered ethnocentric tendencies, ensured equivalency, and trustworthiness of data.

Teaching and Teacher Education

We integrate PPF with provenance-based trust frameworks and investigate the trade-off between trustworthiness of data items and transmission overhead.

Ad Hoc Networks

The trust model uses vehicle trust to evaluate the trustworthiness of data [29].

EURASIP Journal on Wireless Communications and Networking

Veracity or trustworthiness of data It poses a major challenge with regard to volume, variety, and velocity.

Complex & Intelligent Systems

Human-verified similar examples from authoritative sources

Similar Expressions

34 human-written examples

Trust evaluation frameworks utilize data provenance along with the sensed data values to compute the trustworthiness of each data item.

Ad Hoc Networks

Assessing the trustworthiness of sensor data and transmitters of this data is critical for quality assurance.

Ad Hoc Networks

For example, Alabri and Hunter ([2010]) describe a framework combining data quality control and trust metrics to enhance the reliability of citizen science data, and Kuan et al. ([2010]) as well as Yang et al. ([2011]) propose reputation management systems to evaluate the trustworthiness of gathered data by co-observers and data end-users.

Environmental Systems Research

To ensure qualitative rigour and trustworthiness of the data, two researchers analyzed the data separately.

BMC Medical Education

As a result, many such techniques have been developed ranging from encryption techniques supporting privacy-preserving searches over encrypted data [4] and access control systems supporting the specification and enforcement of access control policies for data sharing [5], to techniques for trustworthiness assessment of data [6] and integrity techniques for complex data [7].

Data Science and Engineering

Expert writing Tips

Best practice

When discussing research findings, clearly state the methods used to ensure the "trustworthiness of data", such as triangulation or peer review.

Common error

Avoid presenting the "trustworthiness of data" as absolute. Acknowledge potential limitations and uncertainties, even when rigorous methods have been employed.

Linguistic Context

The phrase "trustworthiness of data" functions as a noun phrase that describes the quality of data in terms of its reliability and credibility. Ludwig AI indicates that the phrase is correct and commonly used in academic and scientific contexts.

Expression frequency: Uncommon

Frequent in

Science

70%

Academia

20%

Formal & Business

10%

Less common in

News & Media

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "trustworthiness of data" is a noun phrase used to describe the reliability, validity, and credibility of data, predominantly in scientific and academic contexts. As Ludwig AI confirms, the phrase is grammatically correct and suitable for formal writing. When using this phrase, it's important to provide context on how data "trustworthiness" was assessed and maintained. While widely accepted, ensure you acknowledge any limitations in data quality to maintain transparency.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data reliability

Focuses specifically on the reliability aspect of the data.

data validity

Highlights the accuracy and factual correctness of the data.

data integrity

Emphasizes the completeness and consistency of the data.

data accuracy

Directly addresses how accurate the data is.

reliability of information

Broader term that extends beyond just "data" to include other forms of information.

veracity of data

Emphasizes the truthfulness and honesty of the data.

authenticity of data

Focuses on whether the data is genuine and not tampered with.

data credibility

Highlights the believability and trustworthiness of the data.

dependability of data

Focuses on how dependable or consistent the data is.

data soundness

Emphasizes the overall quality and robustness of the data.

FAQs

How can I assess the "trustworthiness of data" in my research?

Assess the "trustworthiness of data" by employing methods like triangulation, member checking, and maintaining a clear audit trail. These techniques enhance the credibility and reliability of your findings.

What is the difference between "trustworthiness of data" and data reliability?

"Trustworthiness of data" encompasses various aspects of data quality, including reliability, validity, and credibility. Data "reliability" specifically refers to the consistency and repeatability of the data.

Which factors contribute to the "trustworthiness of data"?

Several factors influence the "trustworthiness of data", including the data source, collection methods, processing techniques, and potential biases. Evaluating these aspects helps determine the data's overall credibility.

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

Depending on the context, you can use phrases such as "data reliability", "data validity", or "data integrity" as alternatives to "trustworthiness of data".