quality assurance of data

USAGE SUMMARY

The phrase "quality assurance of data" is correct and usable in written English.
It can be used in contexts related to data management, analytics, or any field where ensuring the accuracy and reliability of data is important. Example: "The team implemented a rigorous quality assurance of data process to ensure that all information used in the report was accurate and reliable."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

12 human-written examples

BG: data collection, quality assurance of data, final study report.

BMC Musculoskeletal Disorders

Quality assurance of data transfer from paper records was carried out by monitoring every tenth record.

Clinical interventions in aging

A high quality information system is also critical for easy access and quality assurance of data.

Health Research Policy and Systems

Guidelines for the good practice of secondary data analysis AGENS [ 32] were applied for the quality assurance of data.

Health and Quality of Life Outcomes

DP: quality assurance of data extraction, analysis of literature, review of manuscript, final approval of the version submitted.

BMC Health Services Research

Complete follow-up is available for over 99% of the participants through the NHS central registers with quality assurance of data.

British Journal of Cancer

Human-verified similar examples from authoritative sources

Similar Expressions

48 human-written examples

However, in spite of quality assurance of the data, the status of data collection in rural parts of developing countries have their limitations.

Global Health Action

YW and JW conceptualized and supervised the study, contributed to the study design, made substantial contributions to the acquisition and quality assurance of the data, and analyzed the data.

BMC Health Services Research

MGS carried out the data management and quality assurance of the data.

BMC Health Services Research

JLL carried out the data management and quality assurance of the data.

BMC Health Services Research

Tony Scott is the Rothamsted ECN site manager with responsibility for the collection and quality assurance of meteorological data from Harpenden (ROTHMET), Woburn (WOBMET) and Brooms Barn (BROOMET).

Nature

Expert writing Tips

Best practice

When documenting data handling processes, use "quality assurance of data" to highlight systematic efforts to ensure accuracy and reliability throughout the data lifecycle.

Common error

Avoid treating "quality assurance of data" as a one-time task; implement continuous monitoring and regular audits to maintain data integrity over time.

Linguistic Context

The phrase "quality assurance of data" functions primarily as a noun phrase that modifies another noun or acts as a subject or object within a sentence. According to Ludwig, the phrase is correct and usable in written English. The examples provided in Ludwig demonstrate its use in describing methodologies and responsibilities within research and data management contexts.

Expression frequency: Common

Frequent in

Science

85%

Formal & Business

7%

News & Media

4%

Less common in

Academia

3%

Encyclopedias

1%

Wiki

0%

Ludwig's WRAP-UP

In summary, "quality assurance of data" is a commonly used phrase, particularly in scientific and academic contexts, to describe processes aimed at ensuring data reliability and accuracy. Ludwig confirms its grammatical correctness and usability. While alternatives like "data quality control" or "data validation process" exist, the phrase effectively conveys the systematic efforts to maintain data integrity. Remember to implement continuous monitoring rather than treating data quality as a one-time activity. The phrase functions as a noun phrase, typically in formal and scientific registers.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data quality control

Replaces 'assurance' with 'control', focusing on the process of maintaining standards.

data validation process

Emphasizes the act of validating data to ensure its correctness.

data verification procedures

Highlights the specific procedures used to verify data accuracy.

data integrity management

Focuses on maintaining the overall integrity and reliability of data.

ensuring data accuracy

Shifts the focus to the outcome of accurate data rather than the process.

data reliability protocols

Highlights the protocols in place to ensure data is reliable.

data assessment methods

Focuses on the methods used to assess the quality of the data.

confirming data validity

Highlights the act of confirming the validity of the data.

data precision techniques

Emphasizes the techniques used to ensure data is precise.

guaranteeing data excellence

Focuses on ensuring the highest level of data quality.

FAQs

How can I use "quality assurance of data" in a sentence?

You might say, "The research team employed rigorous "quality assurance of data" procedures to minimize errors in the study's findings."

What's a good alternative to "quality assurance of data"?

Depending on the context, you could use "data quality control", "data validation process", or "data integrity management".

What does "quality assurance of data" actually involve?

It encompasses various processes such as data cleaning, validation, monitoring, and auditing to ensure that data is accurate, reliable, and fit for its intended purpose.

Why is "quality assurance of data" important?

It's critical for making informed decisions, ensuring the reliability of research findings, and maintaining trust in data-driven processes across various fields.