acceptable data

USAGE SUMMARY

The phrase "acceptable data" is correct and usable in written English.
It can be used when discussing data that meets certain standards or criteria for quality, reliability, or relevance. Example: "The research team reviewed the findings and concluded that the results were based on acceptable data."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Despite the lack of acceptable data, doctors have assumed that if anti-HIV drugs were effective at keeping long-term positive people healthy, a short-course of treatment over one or two months would also stop the virus embedding itself in someone who has been sexually exposed.

The Guardian

An organizational quality policy defines acceptable data sources, and context of the task [11].

Journal of Big Data

An organisational quality policy defines an acceptable data source type, and applicable quality attributes [11].

Journal of Big Data

This test allows us to simplify the thermal history model without compromising the acceptable data fit.

Earth and Planetary Science Letters

Since the interactive class has a lower serving weight compared to the conversational one, it receives almost the minimum acceptable data rate with 1100 subscribers; in the same situation, conversational services are still provided by the highest acceptable data rate.

EURASIP Journal on Wireless Communications and Networking

This is an acceptable data collection strategy in SNA for acquiring recorded data on social relations (Scott 2013, p. 41).

Bandung: Journal of the Global South

Table 4 Descriptive analysis of the acceptable data by each probe Target (measure unit) Min Max Mean Dev.

AMB Express

As a result, the aggregated/agglomerated nanoparticles significantly decrease the modulus in nanocomposites, and the present methodology suggests acceptable data for aggregation/agglomeration of nanoparticles in polymer nanocomposites.

Nanoscale Research Letters

Data requests by the G-BA are issued without any methodological guidance to assist the manufacturer in generating acceptable data [8].

Health Economics Review

As a reminder, when the network faces congestion, there are not enough resources to serve all services with the minimum acceptable data rates.

EURASIP Journal on Wireless Communications and Networking

This study showed that the internet-based headache diary was not only a feasible and acceptable data collection tool, but also an accessible option for different populations.

The Journal of Headache and Pain

Expert writing Tips

Best practice

In a formal report, ensure that you provide a clear definition of "acceptable data" within the methodology section.

Common error

Avoid using "acceptable data" as a blanket term without properly validating the data. Always implement robust validation checks to ensure the data meets your required standards before conducting further analysis.

Linguistic Context

The phrase "acceptable data" functions as a noun phrase where the adjective 'acceptable' modifies the noun 'data'. As noted by Ludwig AI, the phrase is widely used in written English. The primary grammatical function is to describe data that meets certain quality standards.

Expression frequency: Very common

Frequent in

Science

79%

News & Media

10%

Formal & Business

5%

Less common in

Encyclopedias

1%

Wiki

1%

Social Media

4%

Ludwig's WRAP-UP

In summary, "acceptable data" is a common and grammatically sound phrase used to describe data that meets predefined standards for quality and reliability. Ludwig AI confirms its usability, and the numerous examples highlight its prevalence in scientific, news, and business contexts. When using this phrase, clearly define the criteria for "acceptable data" to ensure transparency and avoid ambiguity. Remember that while widely used, validating your data is a critical step before presenting it as “acceptable”. Consider alternatives like "valid data" or "suitable data" depending on the specific nuances you want to convey.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

valid data

Indicates that the data is accurate and reliable, meeting established criteria.

accurate data

Stresses the correctness and precision of the information.

suitable data

Refers to data that is appropriate or fitting for a particular purpose.

appropriate data

Highlights that the data is particularly well-suited for a specific context or use case.

reliable data

Emphasizes the trustworthiness and consistency of the data.

satisfactory data

Suggests that the data meets a certain level of expectation or requirement.

quality data

Focuses on the overall excellence and freedom from defects in the data.

admissible data

Implies that the data is allowed or permitted, often in a legal or formal context.

permissible data

Indicates that the use or sharing of the data is allowed under certain rules or regulations.

tolerable data

Suggests the data might not be ideal, but is still good enough for the purpose.

FAQs

How can I use "acceptable data" in a sentence?

You can use "acceptable data" to describe information that meets specific standards for quality and reliability. For example, "The study only included participants with "acceptable data" recording between January 1997 and August 2007."

What are some alternatives to using "acceptable data"?

Depending on the context, you could use terms like "suitable data", "valid data", or "reliable data". The best choice depends on the specific criteria you are emphasizing.

What makes data "acceptable"?

Data is considered "acceptable" when it meets predefined criteria for quality, accuracy, completeness, and relevance. These criteria are established based on the specific requirements of the research, analysis, or application for which the data will be used.

How do you ensure you are working with "acceptable data"?

To ensure data is "acceptable", implement robust data validation processes, including checks for accuracy, completeness, and consistency. Define clear data quality standards and regularly monitor data to identify and correct any issues.