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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
equitable data
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "equitable data" is correct and usable in written English.
It can be used in contexts discussing fairness, justice, or equality in data collection, analysis, or representation. Example: "To ensure that our research is inclusive, we must prioritize equitable data that reflects the diverse experiences of all communities."
✓ Grammatically correct
Science
News & Media
Formal & Business
Alternative expressions(8)
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
2 human-written examples
6.30pm With the press calls over, Thomson gets back to updating the Equitable data room with all the relevant information from the Ombudsman report.
News & Media
Whilst it might seem like a good idea to measure impact through non-academic authorship, citation and engagement in the way hinted at above, this approach should not be recommended without careful ethical screening addressing questions of anonymity and equitable data sharing and ownership that are likely to arise, amongst many other hurdles.
Science
Human-verified similar examples from authoritative sources
Similar Expressions
58 human-written examples
Three of the projects explicitly identify equitable or data-driven allocation of resources as a measure of quality of financial systems (overlapping with measures of quality of governance) (Table 4).
Science
We assume that, if we were a truly equitable district, the data would show it by having a gap that decreased, or at worst, held steady.
News & Media
To conduct an equitable CEA, recurrence data from the literature for Mammostrat® were adjusted to account for this difference (Table 3) 15 using methodology described in the supplementary materials.
Concerns of genetic discrimination or discrimination based on health information are widespread (Otlowski et al. 2012), as are concerns about fair or equitable access to data, research results, and public health benefits derived from those results (de Vries et al. 2011; H3Africa 2013).
Science
An important element of infrastructural development involves substantial investment in ensuring ethical, effective, and equitable access to banked data and samples.
These institutions need to scale up for reasons of ecological and economic scale, but also to simultaneously scale down to improve accountability, participation, and equitable benefit sharing (Child, unpublished data).
Developing an inclusive and equitable workforce requires baseline demographic data to guide action and measure progress over time.
News & Media
In response to these challenges, the establishment of a Global Health Resource Fund in conjunction with an international framework for health worker migration could create global governance for stable funding mechanisms encourage equitable migration pathways, and provide data collection that is desperately needed.
Science
The consistency of the findings across the spectrum of receiving funding, documenting procurement and distribution of malaria prevention commodities, achieving high and equitable coverage, and showing national data on reduced morbidity and mortality makes a compelling story that malaria control is working.
Expert writing Tips
Best practice
When discussing policy or research, use "equitable data" to emphasize that the data used is free from biases and represents all groups fairly.
Common error
Do not assume that "equitable data" automatically means the data is neutral. Always verify the data collection and analysis methods to ensure equitable representation and avoid unintended biases.
Source & Trust
82%
Authority and reliability
4.4/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "equitable data" functions as a noun phrase where the adjective "equitable" modifies the noun "data". It describes a specific characteristic of the data, emphasizing its fairness and impartiality. As Ludwig AI confirms, the phrase is perfectly usable in written English.
Frequent in
Science
40%
News & Media
30%
Formal & Business
30%
Less common in
Social Media
0%
Wiki
0%
Encyclopedias
0%
Ludwig's WRAP-UP
In summary, "equitable data" refers to data that is fair, unbiased, and representative, ensuring that all groups are justly portrayed. Ludwig AI confirms that the phrase is grammatically sound and acceptable for use. While not overly frequent, it is commonly found in scientific, news, and formal business contexts, as shown from the source analysis. Striving for "equitable data" is essential for fostering fairness and avoiding the perpetuation of inequalities. Remember to verify data collection methods, as using equitable data can prevent skewed results.
More alternative expressions(10)
Phrases that express similar concepts, ordered by semantic similarity:
unbiased data
Focuses specifically on the absence of prejudice or skew in the data.
fair data
Emphasizes impartiality and justice in how the data is handled and represented.
impartial data
Highlights the lack of bias and favoritism in the data collection and interpretation processes.
just data
Indicates data that aligns with principles of justice and ethical considerations.
proportionate data
Stresses that data representation should be balanced and reflect true proportions.
balanced data
Implies an even distribution and representation of different groups or factors within the data.
representative data
Focuses on how accurately the data reflects the characteristics of the population or subject it is intended to represent.
equalized data
Suggests that data has been adjusted to remove disparities and create a level playing field.
equitable metrics
Switches focus from the data itself to the measures used to analyze the data, ensuring they are fair.
fairness in data
Rephrases the concept to emphasize that fairness is the quality being sought in the data.
FAQs
How is "equitable data" used in a sentence?
"Equitable data" is used to describe data that is fair, unbiased, and representative of all groups. For example, "The study aimed to gather "equitable data" to accurately reflect the population's diversity."
What's the difference between "equitable data" and "equal data"?
"Equal data" implies that all groups have the same amount of data, while "equitable data" means the data is representative and fairly reflects each group's proportion within a population. Equitable data focuses on fair representation, not necessarily equal amounts.
What are other terms I can use instead of "equitable data"?
You can use alternatives such as "fair data", "unbiased data", or "representative data" depending on the specific context and what aspect of fairness you want to emphasize.
Why is it important to strive for "equitable data" in research?
Striving for "equitable data" ensures research findings are accurate, reliable, and applicable to all segments of the population. It helps avoid skewed results that could lead to unfair or ineffective policies and interventions.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
82%
Authority and reliability
4.4/5
Expert rating
Real-world application tested