incorrect data entry

USAGE SUMMARY

The phrase "incorrect data entry" is correct and usable in written English.
You can use it when referring to mistakes made while inputting data into a system or database. Example: "The report was delayed due to incorrect data entry, which led to discrepancies in the final figures."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

13 human-written examples

Patients may not receive the SMS reminders due to incorrect data entry.

BMC Ophthalmology

This may result in misclassification of URI-related events due to incorrect data entry or wrong code assignment.

BMC Infectious Diseases

This database contains information entered by hand from hospital records, so there is a chance of incorrect data entry.

Environmental Health Perspectives

At any point during the study, questionnaires with missing data or incorrect data entry were returned to the field for collection of the missing information.

BMC Infectious Diseases

Coding errors, defined as inaccuracies in coding the discharge diagnosis or incorrect data entry into a registry, were seen overall in 20.6% of possible thrombosis diagnoses.

Clinical Epidemiology

An accidental incorrect data entry was particularly frequent for rare diagnoses in children, specifically MI, retinal occlusion, and CSVT (Table 5).

Clinical Epidemiology

Human-verified similar examples from authoritative sources

Similar Expressions

47 human-written examples

If necessary, they report back to clinicians to clarify and correct implausible or incorrect data entries in the best possible way.

BMC Infectious Diseases

Many of these previous approaches do not take into account the possibility of incorrect enhancement due to occasional incorrect links or data entry errors resulting in incorrect reports of a non-indigenous person as indigenous in the source datasets.

BMC Medical Research Methodology

Although missing data, incorrect recording and data entry errors are likely to occur (Neal [2009]), its large size, detailed information and standardized structure allow answering many questions pertaining to trauma outcomes.

Injury Epidemiology

While the overall rate of such problems may be low, where linked datasets are very large, and indigenous populations are relatively small, a low rate of incorrect links or data entry errors could make a substantial difference to the number of deaths reported after enhancement.

BMC Medical Research Methodology

Multiple steps of data cleaning assured data quality since not only recall and reporting bias, but also erroneous data entry, incorrect coding and false standard amounts could have resulted in missing and implausible data.

European Journal of Nutrition

Expert writing Tips

Best practice

When documenting potential issues, explicitly state "incorrect data entry" to clearly identify the source of the problem.

Common error

Don't assume data is correct upon entry. Implement robust validation checks to catch and correct "incorrect data entry" before it propagates through your system.

Linguistic Context

The phrase "incorrect data entry" functions as a noun phrase, typically used to identify and describe errors made during the process of inputting data. This is supported by Ludwig AI which confirms its usability. The phrase is commonly used in contexts where data accuracy is critical.

Expression frequency: Common

Frequent in

Science

46%

News & Media

31%

Formal & Business

23%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "incorrect data entry" is a common noun phrase used to describe errors made while inputting data. Ludwig AI confirms its grammatical correctness and usability. It appears frequently in scientific, news, and formal business contexts, highlighting its importance across various fields. To mitigate issues related to "incorrect data entry", it's best to implement robust data validation and training programs. Alternatives such as "erroneous data input" or "faulty data entry" can be used depending on the specific nuance you intend to convey.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

erroneous data input

Replaces "incorrect" with "erroneous" and "entry" with "input", emphasizing the error in the input process.

faulty data entry

Uses "faulty" instead of "incorrect", highlighting the flawed nature of the data entry.

inaccurate data input

Substitutes "incorrect" with "inaccurate", focusing on the lack of precision in the data.

mistaken data entry

Replaces "incorrect" with "mistaken", emphasizing the unintentional nature of the error.

data entry error

Simplifies the phrase to a noun compound, focusing on the error itself.

erroneous record keeping

Broadens the scope to include the overall record-keeping process, not just the entry.

flawed data input

Emphasizes the inherent defect in the entered data, using "flawed" instead of "incorrect".

invalid data entry

Focuses on the non-compliance of the data with expected formats or rules.

defective data recording

Highlights the faulty nature of the data recording process, similar to "flawed data input".

corrupted data input

Suggests that the data has been damaged or altered, leading to inaccuracies.

FAQs

How can I prevent "incorrect data entry"?

Implement data validation rules, use drop-down menus to limit free text, and train personnel on proper data entry procedures. Regular audits can also help identify and correct errors.

What are some alternatives to saying "incorrect data entry"?

You can use alternatives like "erroneous data input", "faulty data entry", or "inaccurate data input" depending on the specific context.

What is the impact of "incorrect data entry" on data analysis?

"Incorrect data entry" can lead to skewed results, inaccurate reporting, and flawed decision-making. It's crucial to minimize these errors for reliable data analysis.

How does data validation help in reducing "incorrect data entry"?

Data validation ensures that entered data conforms to predefined rules and formats, thus reducing the likelihood of "incorrect data entry" and improving overall data quality.