improved data quality

USAGE SUMMARY

The phrase "improved data quality" is correct and usable in written English.
You can use it when discussing enhancements or advancements in the accuracy, consistency, or reliability of data. Example: "The new software implementation has led to significantly improved data quality, allowing for better decision-making."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Data managers reported that eCRFs saved time and improved data quality, however we cannot exclude that the perception of fewer queries simply results from a smaller number of variables monitored; clinical research associates valued the automated quality checks and easier storage of electronic data.

BMC Medical Research Methodology

Lessons learned included the need for improved population estimates and standardized reporting procedures for improved data quality and dissemination; the importance of a simple and flexible model for data collection; and greater investment in supervising CHWs.

Conflict and Health

On the one hand, they enforce improved cost accounting, resulting in improved data quality.

Health Economics Review

Results demonstrate improved data quality and phosphorylation localization accuracy while preserving sufficient reporter ion production.

Analytica Chimica Acta

The course is expected to contribute to the improved data quality, usage, generation, publication and appreciation of food composition data.

Food Chemistry

The final stage of interpretation involves an iterative process, since the analysis should be adjusted, e.g., if there is potential for improved data quality of important processes.

Energy, Sustainability and Society

The catalog unifies various management standards, including contracts, delivery, using fixed assets, and fixed asset granularity for crucial nodes, resulting in improved data quality.

Urban Rail Transit

Multi-year field performance showed that the PEAMA greatly improved data quality during pit fan airflow monitoring compared with previously adopted techniques.

Biosystems Engineering

The ultimate aim of correcting orbit positions is to obtain satellite data with improved data quality for that time which then can further be used to study the 1969 jerk or to improve historical field models.

Earth, Planets and Space

It is believed that with more installed PMUs, improved data quality, and enhanced LSE, the synchrophasor-based situational awareness system will provide greater visibility and dynamic insights to improve the grid stability and reliability in real-time power system operation.

Journal of Modern Power Systems and Clean Energy

Despite the improved data quality obtained using an algorithm that may include peak addition and tail estimation, the accurate determination of 241Am by alpha spectrometry relies primarily on reduction of peak overlap rather than on algorithm selection.

Applied Radiation and Isotopes

Expert writing Tips

Best practice

When aiming for “improved data quality”, consider using specific metrics to measure the improvement, such as reduced error rates or increased data completeness.

Common error

Avoid simply stating that data quality has improved. Specify the methods used to achieve the improvement and the tangible results, such as fewer discrepancies or more accurate analyses.

Linguistic Context

The phrase “improved data quality” functions as a noun phrase, where the adjective “improved” modifies the noun “data quality”. It indicates an enhancement or advancement in the characteristics of data. As Ludwig AI confirms, this phrase is usable in written English.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase “improved data quality” is a common and grammatically correct term used to describe enhancements in the accuracy, reliability, and overall suitability of data for its intended purposes. As Ludwig AI confirms, it's a valid and useful phrase in written English.

Based on the analysis, it is most frequently used in scientific contexts. Related phrases include "enhanced data accuracy" and "better data accuracy", each emphasizing slightly different aspects of data enhancement.

When using this phrase, it is important to specify the methods used to achieve the improvement and the tangible results. By focusing on these specifics, communicators can convey the true impact of improved data management efforts.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

enhanced data accuracy

Focuses on the aspect of making data more precise and correct.

better data accuracy

Simply indicates a higher level of accuracy in the data.

enhanced data integrity

Emphasizes the completeness and reliability of data.

higher data reliability

Highlights the trustworthiness and consistency of the data.

refined data quality

Suggests a more precise and polished level of data quality.

optimized data quality

Focuses on achieving the best possible data quality through specific methods.

superior data quality

Implies a level of data quality that is above average or standard.

increased data validity

Stresses that the data accurately represents what it is intended to measure.

enhanced information quality

Broader term that covers the quality of information derived from data.

enhanced data precision

Highlights the exactness and detail of the data.

FAQs

How can I ensure "improved data quality" in my research?

To ensure "improved data quality", implement rigorous data validation processes, provide thorough training to data collectors, and use standardized data entry protocols.

What are the benefits of "improved data quality" in business?

"Improved data quality" leads to better decision-making, more accurate reporting, and increased operational efficiency. It also reduces the risk of costly errors.

Which is more accurate, "improved data quality" or "enhanced data integrity"?

Both "improved data quality" and "enhanced data integrity" are valid, but they emphasize different aspects. "Improved data quality" focuses on accuracy and completeness, while "enhanced data integrity" emphasizes reliability and consistency over time.

What's the difference between "improved data quality" and "better data accuracy"?

"Improved data quality" is a broader term that encompasses several factors, including accuracy, completeness, and consistency. "Better data accuracy" specifically refers to the degree to which the data is free from errors.