data is abundant

USAGE SUMMARY

The phrase "data is abundant" is correct and usable in written English.
You can use it when discussing the availability or accessibility of data in various contexts, such as research, technology, or business. Example: "In today's digital age, data is abundant, allowing companies to make informed decisions based on extensive analysis."

✓ Grammatically correct

Science

Tech & Media

Human-verified examples from authoritative sources

Exact Expressions

4 human-written examples

Data is abundant, and we can consume all of it given enough time.

TechCrunch

Dispersion data is abundant for water flow in the saturated zone but is lacking for airflow in unsaturated soil.

Journal of Contaminant Hydrology

Overall, these results support the shadow profile hypothesis for biographical data in Twitter, evidencing that features of the description of non-users can be predicted with data from users, but once that data is abundant enough.

EPJ Data Science

While genome-wide experimental data is abundant in model organisms such as S. cerevisiae and E. coli, information is often limited for newly sequenced organisms, which precludes the use of such data for identification of genes essential for survival.

BMC Genomics

Human-verified similar examples from authoritative sources

Similar Expressions

56 human-written examples

In many machine learning settings, labeled examples are difficult to collect while unlabeled data are abundant.

Theoretical Computer Science

Such approach relies on the fact that labeled data are difficult to be gathered and often are associated with high costs, while unlabeled data are abundant in most applications and generally easy to be collected.

Journal of the Brazilian Computer Society

However, building the RBF SVM models would have taken too long and removing a small part of the data in this case does not have a major impact on the results as data was abundant.

Journal of Cheminformatics

We note this is appropriate when the data are abundant, and one would certainly use all data instead if the sample size were relatively small.

Plosone

To assess the gene expression patterns during embryogenesis, we turned to mouse, where expression data are abundant from all developmental stages.

Plosone

We focused on North American terrestrial vertebrates for three reasons: (1) ample individual phylogeographic analyses have been developed; (2) occurrence data are abundant and are already networked for ENM development; and (3) LGM environments of the continent are relatively well understood [1], [3].

Plosone

Indeed, genetic variations are easier to quantify, data are abundant, and new methods continue to emerge.

BMC Biology

Expert writing Tips

Best practice

When stating that "data is abundant", specify the type of data and the context in which it is abundant for greater clarity. For example, "Clinical trial data is abundant for this particular drug", rather than simply "Data is abundant".

Common error

Avoid using "data is abundant" without providing context or specifics. This phrase can be too general and lack impact if you don't clarify what kind of data you're referring to and where it is prevalent.

Linguistic Context

The phrase "data is abundant" functions as a descriptive statement, asserting that a large quantity of data exists. Ludwig examples show this phrase used in various contexts, from scientific research to technological discussions. Ludwig AI confirms that this phrase is grammatically correct and usable in written English.

Expression frequency: Common

Frequent in

Science

75%

News & Media

25%

Formal & Business

0%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "data is abundant" is a grammatically sound and frequently employed expression used to convey the idea that a significant amount of data is available. Ludwig examples show diverse contexts, including scientific research, technology, and general discussions. While applicable across various registers, it's often used in neutral to formal settings. Ludwig AI confirms its correctness and usability, emphasizing its role in highlighting the availability of information. Remember to provide context and specifics when using this phrase to avoid overgeneralization and enhance its impact.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Data is plentiful

Replaces "abundant" with its direct synonym "plentiful", slightly altering the tone.

Data is copious

Uses a more formal synonym "copious", indicating a large quantity.

Data is in ample supply

Shifts from an adjective to a noun phrase, emphasizing availability.

Data is overflowing

Employs a more vivid image of excess, implying an even greater quantity.

Data is readily available

Focuses on the accessibility of data rather than just its quantity.

Data is widely accessible

Highlights the ease with which data can be accessed.

Data resources are rich

Highlights the high quality of the existing data.

Data sets are extensive

Focuses on the comprehensive nature of data sets.

There's a wealth of data

Emphasizes the richness and value of the available data.

A lot of data exists

Uses a simpler and more informal phrasing to convey the same meaning.

FAQs

What does it mean when we say that "data is abundant"?

Saying that "data is abundant" means there is a large quantity of data available, often implying that it is easily accessible and sufficient for analysis or other purposes.

What can I say instead of "data is abundant"?

You can use alternatives like "data is plentiful", "data is copious", or "data is readily available" depending on the specific context.

Is it better to say "data is abundant" or "data are abundant"?

While "data" is technically the plural of "datum", it is commonly used as a mass noun, so "data is abundant" is generally accepted. In more formal contexts, "data are abundant" might be preferred, but "data is abundant" is widely used and understood.

How can the abundance of data be leveraged?

The abundance of data can be leveraged through effective analysis techniques, such as machine learning and data mining, to extract insights, identify trends, and make informed decisions. When "data is not abundant", different approaches may be needed.