fair data

USAGE SUMMARY

The phrase "fair data" is correct and usable in written English.
It can be used in contexts discussing data that is equitable, just, or meets certain ethical standards, often in relation to data sharing and usage. Example: "In our research, we prioritize fair data practices to ensure that all participants are treated with respect and their information is handled responsibly."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

15 human-written examples

Then, we present a Fairness-based MAC (FMAC) protocol, which considers fair data link allocation among SUs.

Journal of Network and Computer Applications

Consequently, even using a utility function with fairness property and large value for parameter V does not necessarily lead to fair data admission, and therefore, more considerations are needed in resource allocation for serving the queues.

EURASIP Journal on Wireless Communications and Networking

Christopher Soghoian, a privacy activist, suggests that consumers could start a "fair data" movement, in the vein of "fair trade" campaigns.

The Economist

Besides, there is few research on handshaking process in CRAHNs considering fair data link allocation among SUs.

Journal of Network and Computer Applications

It would be itself fair to suggest that such a process does not fully adhere to the principles of FAIR data.

Journal of Cheminformatics

We propose the parameters that should be taken into account in utilizing the drift-plus-penalty policy in relay-assisted cellular networks, for providing fair data admission and satisfying the average power constraints.

EURASIP Journal on Wireless Communications and Networking

Human-verified similar examples from authoritative sources

Similar Expressions

45 human-written examples

To be fair, good data is harder to come by.

The New York Times

In the aspect of providing fair service, data traffic is usually more sensitive than audio and video traffic.

EURASIP Journal on Wireless Communications and Networking

Greening 3 results in a behavior that is jointly fair in data rate and transmit power allocations.

EURASIP Journal on Wireless Communications and Networking

ΔR B is perfectly fair in data rate distribution, but it has a larger price of greening.

EURASIP Journal on Wireless Communications and Networking

They criticised the fact that users must "blindly trust" applications to play fair with data that they gather.

BBC

Expert writing Tips

Best practice

When discussing data governance or ethics, using "fair data" helps emphasize the importance of equitable treatment and unbiased analysis. Consider including specific metrics or examples to illustrate how fairness is achieved or maintained.

Common error

Be aware that "fair data" doesn't automatically imply complete objectivity. Data can be fair in its application or distribution, but still reflect inherent biases from its source or collection methods. Always critically evaluate the underlying data and acknowledge potential limitations.

Linguistic Context

The primary grammatical function of "fair data" is to act as a noun phrase, where 'fair' modifies the noun 'data'. This phrase typically functions as a subject, object, or complement within a sentence, denoting data that meets certain ethical or equitable standards. Ludwig's examples illustrate its use in diverse contexts.

Expression frequency: Common

Frequent in

Science

40%

News & Media

35%

Formal & Business

25%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "fair data" is a phrase used to emphasize ethical and equitable data practices. Ludwig AI confirms that it is grammatically correct and commonly used in both scientific and media contexts. Related phrases include "equitable data" and "unbiased data". When using this phrase, it's important to acknowledge potential biases and critically evaluate the underlying data. Remember that "fair data" signifies a commitment to responsible data handling, but does not guarantee complete objectivity. This phrase is especially relevant in discussions related to data governance, ethics, and machine learning.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

equitable data

Focuses on the impartiality and justice in data treatment.

unbiased data

Emphasizes the absence of prejudice or skewed information.

impartial data

Highlights objectivity and lack of favoritism in data collection and analysis.

just data

Underscores the moral and ethical dimensions of data usage.

ethical data

Relates to data that adheres to moral principles and professional standards.

responsible data

Implies careful and considerate handling of data.

transparent data

Highlights openness and clarity regarding data sources and processes.

accountable data

Stresses the responsibility for the consequences of data usage.

reliable data

Indicates trustworthiness and accuracy in data.

trustworthy data

Emphasizes the dependability and credibility of data.

FAQs

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

You can use "fair data" to emphasize equitable treatment and unbiased analysis in your data practices. For example: "Our project prioritizes "fair data" principles to ensure unbiased outcomes."

What does "fair data" mean in the context of machine learning?

In machine learning, "fair data" refers to datasets that are free from bias and don't lead to discriminatory outcomes. Ensuring "fair data" is crucial for building ethical and reliable AI systems.

What is the difference between "unbiased data" and "fair data"?

"Unbiased data" refers to data that is statistically free from systematic errors, while "fair data" encompasses ethical considerations, ensuring data doesn't unfairly disadvantage any group.

Why is it important to consider "fair data" practices in research?

Considering "fair data" practices in research is vital to ensure equitable outcomes, prevent discriminatory biases, and uphold ethical standards in data collection, analysis, and application.