well-established data

USAGE SUMMARY

The phrase "well-established data" is correct and usable in written English.
It can be used when referring to data that is widely accepted and recognized as reliable or valid within a particular field or context. Example: "The researchers relied on well-established data to support their findings in the study."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

19 human-written examples

Clustering of data objects is a well-established data mining task that aims at grouping these objects.

Vietnam Journal of Computer Science

The results showed the pharmacokinetic parameters of cisplatin in serum in accordance to the well-established data.

Journal of Pharmaceutical and Biomedical Analysis

Using well-established data on the light-diffusing effects of aerosol particles, Daniel Murphy calculated that the geoengineering scheme currently envisioned could reduce incoming sunlight by about 3%.

Science Magazine

Use well-established data portal software with widely used APIs - this reduces costs and barriers to success for both the data publisher and the data users.

Open Geospatial Data, Software and Standards

An electron microprobe has advantages of the smallest sampling volume and well-established data reduction procedures as well as quantitative calibration methods, but extreme care is required for elements at very low abundances.

Journal of Analytical Science and Technology

Likewise, for the BOF, the target movement model is employed in updating the HMM filter, which makes it feasible to be combined with a well-established data association method such as the JPDAF [30].

EURASIP Journal on Advances in Signal Processing

Human-verified similar examples from authoritative sources

Similar Expressions

41 human-written examples

Since there is no well-established data-schema for JSON we use StAXON (https://github.com/beckchr/staxon/) tool to transform JSON messages to XML before learning their data-schema using the XML learning tool Trang.

Journal of Internet Services and Applications

Western Australia was chosen for this study because of its unique position in Australia of having a well-established health data linkage system that includes both hospital and RAC data [ 19].

BMC Health Services Research

All other parameters were directly determined using actual data in the original study, or were taken from well-established literature data.

Geochemical Transactions

MAX IV has adopted the well-established hierarchical data format (HDF5) [2] using the NeXus standard [3] where possible.

Advanced Structural and Chemical Imaging

Here, we develop multiple techniques to compare the well-established experimental data set on ubiquitin with existing theoretical models as a case study.

Biophysical Journal

Expert writing Tips

Best practice

When using "well-established data", ensure that the data's source and methodology are clearly cited to maintain credibility.

Common error

Be wary of relying solely on old "well-established data" without considering more recent findings or updates in the field. Always check if newer research challenges or refines the existing understanding.

Linguistic Context

The phrase "well-established data" functions as an adjective phrase modifying the noun "data". It describes data that is recognized, accepted, and reliable within a specific field. Ludwig AI confirms its proper usage in various contexts.

Expression frequency: Common

Frequent in

Science

85%

News & Media

8%

Formal & Business

7%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "well-established data" is a phrase used to describe information that is widely accepted and recognized as reliable within a specific field. Ludwig AI validates the grammatical correctness and usability of the phrase. As a common term, especially in scientific and academic writing, it signifies credibility and reliance on trusted sources. To enhance your writing, ensure to cite sources when using "well-established data", and be mindful of newer research that might challenge older findings. Alternative phrases include "validated data" and "proven data". Overall, using "well-established data" effectively strengthens the validity and reliability of your arguments.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

validated data

Focuses on the confirmation of accuracy and reliability.

verified data

Emphasizes the process of confirming the truth or accuracy of the information.

proven data

Highlights the data's demonstrated reliability through evidence.

accepted data

Indicates that the data is widely recognized and agreed upon within a field.

recognized data

Stresses the acknowledgment and acceptance of the data's validity.

confirmed data

Implies that the data has been substantiated or verified.

reliable data

Highlights the trustworthiness and dependability of the data.

trustworthy data

Focuses on the credibility and integrity of the data.

authoritative data

Emphasizes the data's high level of credibility and expertise.

standard data

Highlights the use of data that complies with established norms and protocols.

FAQs

How can I use "well-established data" in a sentence?

"Well-established data" is typically used to support a claim or argument. For example: "The study's conclusions are supported by "well-established data" in the field."

What are some alternatives to "well-established data"?

Alternatives include "validated data", "proven data", or "reliable data", depending on the specific context.

Is it appropriate to use "well-established data" in formal writing?

Yes, "well-established data" is appropriate for formal writing, especially in academic and scientific contexts. It indicates a reliance on credible and accepted information.

What's the difference between "well-established data" and "preliminary data"?

"Well-established data" refers to information that has been rigorously tested and widely accepted, whereas "preliminary data" is initial findings that require further validation.