data reliability

USAGE SUMMARY

The phrase "data reliability" is correct and usable in written English.
It can be used when discussing the consistency and trustworthiness of data in various contexts, such as research, analytics, or information systems. Example: "The study's findings were heavily influenced by the data reliability, as inconsistent data can lead to misleading conclusions."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Redundant Arrays of Inexpensive Disks (RAID) use simple redundancy schemes to provide high data reliability.

University of California, Berkeley

Traceability data access automation will assure data reliability.

Computers in Industry

Data reliability, Composite reliability, Common method bias was checked to avoid issues for self-reported data.

International Strategic Management Review

Utilization of this database can improve the data reliability by acting as a design reference.

Acta Astronautica

But many big companies and government agencies have been reluctant to get on board because of traditional corporate-computing concerns like the security of data, reliability of service and regulatory compliance.

The New York Times - Tech

Therefore, inferences regarding neuropsychological data reliability with adequate statistical certainty require use of other measures of performance validity with greater sensitivity.

Stanford University

It also covers the data sources and data reliability, analytic (evaluation) methods and their strengths and limitations, and the overall reliability of the analytical results.

University of California, Berkeley

Better data reliability.

EURASIP Journal on Wireless Communications and Networking

This is known as the problem of "data reliability".

SEP

Their solution decreases retransmission and energy while keeping data reliability.

EURASIP Journal on Wireless Communications and Networking

However, measuring data reliability requires tentative channel/data estimates.

EURASIP Journal on Advances in Signal Processing

Expert writing Tips

Best practice

When discussing research findings, explicitly state how you ensured "data reliability", such as through double-entry verification or statistical tests.

Common error

Don't assume that data is reliable without verification. Always implement methods to assess and ensure "data reliability", especially when using data from multiple sources.

Linguistic Context

The phrase "data reliability" 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. As Ludwig AI explains, the phrase is grammatically correct and usable.

Expression frequency: Very common

Frequent in

Science

58%

News & Media

17%

Formal & Business

8%

Less common in

Academia

7%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "data reliability" is a noun phrase referring to the consistency and trustworthiness of data. Ludwig AI confirms its grammatical correctness and wide applicability. It's a key concept across various fields, including science, business, and news. The phrase is frequently used in scientific contexts, emphasizing the importance of verifying data quality. To ensure effective communication, be aware of potential errors like assuming inherent reliability, and utilize techniques to validate data. Related concepts include "data dependability" and "data trustworthiness", offering similar meanings in different contexts.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data trustworthiness

Emphasizes the quality of being worthy of trust in the context of data.

data dependability

Focuses on the consistency and reliability of data over time.

data accuracy

Highlights the correctness and precision of the data.

data integrity

Refers to the completeness and consistency of data.

data validity

Indicates whether the data measures what it is supposed to measure.

data robustness

Highlights the ability of data to remain accurate despite errors or inconsistencies.

data soundness

Implies the data is based on solid, reliable principles.

data credibility

Focuses on the believability and trustworthiness of the data.

data precision

Underscores the exactness and detail of the data.

data consistency

Highlights the uniformity and absence of contradictions within the data.

FAQs

How can I improve "data reliability" in my research?

To improve "data reliability", consider using techniques like double data entry, statistical validation, and triangulation with multiple data sources. Ensure rigorous quality control throughout the data collection and analysis process.

What's the difference between "data reliability" and "data validity"?

"Data reliability" refers to the consistency and repeatability of data, while "data validity" refers to whether the data accurately measures what it's intended to measure. Data can be reliable without being valid, and vice versa.

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

Depending on the context, you can use alternatives such as "data dependability", "data trustworthiness", or "data accuracy" to convey similar meanings.

Why is "data reliability" important in business decisions?

"Data reliability" is crucial in business decisions because it ensures that the information used for strategic planning and operational management is consistent and trustworthy, reducing the risk of making incorrect decisions based on flawed data.